#### Read 73-86%20Stats%20&%20Probability.pdf text version

2007-2008 NEW Statistics & Probability Titles

Statistics & Probability ~ Contents

Advanced Statistics ......................................................... 86 Applied Statistics - Engineering ....................................... 79 Applied Statistics - Science, Health and Biostatistics........ 79 Business Statistics ........................................................... 81 Statistics and Probability (Calculus) ................................. 78 Statistics and Probability (Non-Calculus) ......................... 74

2007 New Titles

BLUMAN Elementary Statistics: A Step By Step Approach, 6e ............................................................................75

ISBN-13: 978-0-07-325163-9 / MHID: 0-07-325163-1

BOWERMAN Business Statistics in Practice, 4e ............................82

ISBN-13: 978-0-07-325291-9 / MHID: 0-07-325291-3

PAVKOV Ready, Set, Go! A Student Guide to SPSS ® 13.0 and 14.0 for Windows, 2e ............................... 76

ISBN-13: 978-0-07-312665-4 / MHID: 0-07-312665-9

WILSON Business Forecasting with Forecast X Software, 5e ............................................................................83

ISBN-13: 978-0-07-320398-0 / MHID: 0-07-320398-X

2008 New Titles

BLUMAN Elementary Statistics: A Brief Version, 4e ................74

ISBN-13: 978-0-07-353496-1 / MHID: 0-07-353496-X

BOWERMAN Essentials of Business Statistics with Student CD, 2e ....................................................................81

ISBN-13: 978-0-07-331988-9 / MHID: 0-07-331988-0

LIND Statistical Techniques in Business and Economics, 13e .......................................................81

ISBN-13: 978-0-07-327296-2 / MHID: 0-07-327296-5

NAVIDI Statistics for Engineers and Scientists, 2e ................79

ISBN-13: 978-0-07-330949-1 / MHID: 0-07-330949-4

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Statistics & Probability

Statistics And Probability (Non-calculus)

International Edition

This problem is subsequently solved using the statistical techniques presented in the chapter. 3)Procedure Tables embody the book's step by step approach. These boxes summarize methods for solving various types of common problems. Worked examples include EVERY step. Since they can refer to the Procedure Tables, students are never "at sea" while working exercises. Through practice, the procedures become second nature. 4)"Speaking of Statistics" sections invite students to think about poll results and other statisics-related news stories. Formula Reference Card--A reference card containing the formulas and selected tables is included with this textbook. MATHZONE--MathZone sets the bar for classroom technology. Algorithmically generated problems, video lectures, interactice exercise walk-throughs, as well as, online testing and assessment using ALEKS technology, which all feed to a unified gradebook. www.mathzone. com ALEKS (Assessment and LEarning in Knowledge Spaces)--an artificial intelligence-based system for mathematics and statistics learning, available online 24/7. Using unique adaptive questioning, ALEKS accurately assesses what topics each students knows and then determines exactly what each student is ready to learn next. ALEKS interacts with a student much as a skilled human tutor would, moving between explanation and practice as needed, correcting and analyzing errors, defining terms and changing topics on request, and helping them master the course content more quickly and easily. www.highed.aleks.com.

NEW

ELEMENTARY STATISTICS: A BRIEF VERSION Fourth Edition

By Allan G Bluman, Community College of Allegheny County-South 2008 (September 2006) / 736 pages ISBN-13: 978-0-07-353496-1 / MHID: 0-07-353496-X ISBN-13: 978-0-07-331267-1 / MHID: 0-07-331265-7 (with Math Zone) ISBN-13: 978-0-07-110189-9 / MHID: 0-07-110189-6 [IE]

Browse http://www.mhhe.com/bluman Elementary Statistics: A Brief Version, 4th Edition is a shorter version of Allan Bluman's popular text Elementary Statistics: A Step by Step Approach, 6th edition. This softcover edition includes all the features of the longer book, but is designed for a course in which the time available limits the number of topics covered. The book is written for general beginning statistics courses with a basic algebra prerequisite. The book use a non-theoretical approach, explaining concepts intuitively and teaching problem solving through worked examples step-by-step. NEW TO THIS EDITION

Applying the Concepts--This new feature has been added to each section and gives students an opportunity to think about the concepts and apply them to hypothetical examples and scenarios similar to those found in newspapers, magazines, and news programs. More Examples and Exercises!--Over 200 new exercises have been added, most using real data, and many questions now incorporate thought-provoking questions requiring students to interpret their results. Fresh New Look--The text layout and color palette have been redesigned to help increase the readability and ease of use by students and instructors. The text has been updated throughout with current data and statistics including new Unusual Stats and Interesting Facts; new Speaking of Statistics; new Critical Thinking Challenges; new Statistics Today openers; new worked examples; new Data Analysis Exercises; and new Data Sets.

CONTENTS

Preface / 1: The Nature of Probability and Statistics 1.1 Introduction 1.2 Descriptive and Inferential Statistics 1.3 Variables and Types of Data 1.4 Data Collection and Sampling Techniques 1.5 Observational and Experimental Studies 1.6 Uses and Misuses of Statistics 1.7 Computers and Calculators 1.8 Summary 2: Frequency Distributions and Graphs 2.1 Introduction 2.2 Organizing Data 2.3 Histograms, Frequency Polygons, and Ogives 2.4 Other Types of Graphs 2.5 Paired Data and Scatter Plots Ana 2.6 Summary 3: Data Description 3.1 Introduction 3.2 Measures of Central Tendency 3.3 Measures of Variation 3.4 Measures of Position 3.5 Exploratory Data Analysis 3.6 Summary 4: Probability and Counting Rules 4.1 Introduction 4.2 Sample Spaces and Probability 4.3 The Addition Rules for Probability 4.4 The Multiplication Rules and Conditional Probability 4.5 Counting Rules 4.6 Probability and Counting Rules 4.7 Summary 5: Discrete Probability Distributions 5.1 Introduction 5.2 Probability Distributions 5.3 Mean, Variance, Standard Deviation, and Expectation 5.4 The Binomial Distribution 5.5 Summary 6: The Normal Distribution 6.1 Introduction 6.2 Properties of the Normal Distribution 6.3 The Standard Normal Distribution 6.4 Applications of the Normal Distribution 6.5 The Central Limit Theorem 6.6 The Normal Approximation to the Binomial Distribution 6.7 Summary 7: Confidence Intervals and Sample Size 7.1 Introduction 7.2 Confidence Intervals for the Mean (Sigma Known or n > 30) and Sample Size 7.3 Confidence Intervals for the Mean (Sigma Unknown and n < 30) 7.4 Confidence Intervals and Sample Size for Proportions 7.5 Confidence Intervals for Variances and Standard Deviations 7.6 Summary 8: Hypothesis Testing 8.1 Introduction 8.2 Steps in Hypothesis Testing Traditional Method 8.3 z Test for a Mean 8.4 t Test for a Mean 8.5 z Test for a Proportion 8.6 Chi-Square Test for a Variance or Standard Deviation 8.7 Additional Topics Regarding Hypothesis Testing 8.8 Summary 9: Testing the Difference Between Two Means, Two Variances, and Two Proportions 9.1 Introduction 9.2 Testing the Difference Between Two Means: Large Samples 9.3 Testing the Difference Between Two Variances 9.4 Testing the Difference Between Two Means: Small Independent Samples 9.5 Testing the Difference Between Two Means: Small Dependent Samples 9.6 Testing the Difference Between Two Proportions 9.7 Summary 10: Correlation and Regression 10.1 Introduction 10.2 Correlation 10.3 Regression 10.4 Coefficient of Determination and Standard Error of the Estimate 10.5 Summary 11: Chi-Square and Analysis of Variance (ANOVA) 11.1 Introduction 11.2 Test for Goodness of Fit 11.3 Tests Using Contingency Tables 11.4 Analysis of Variance (ANOVA) 11.5 Summary / Appendix A: Algebra Review Appendix B-1: Writing the Research Report Appendix B-2: Alternate Approach to the Standard Normal Distribution Appendix C: Tables Appendix D: Data Bank Appendix E: Glossary Appendix F: Bibliography Appendix G: Photo Credits Appendix H: Selected Answers

FEATURES

Technology Incorporated into Text--Data sets used in examples and exercises from the text are provided in a variety of formats including: Minitab, TI Graph Link files for TI-83/84+, Excel (for Windows and Macintosh), SPSS, and comma-delimited ASCII. "Technology Step by Step" sections--Using his hallmark problemsolving methodology, Bluman shows how to solve basic technologybased problems using MiniTab software, the TI-83/84 Plus graphing calculator, or Excel. Pedagogy That Lends to Success--Although the design of the book has been modified, the pedagogical features that have made Bluman a successful teaching tool remain the same. 1)Critical Thinking Challenges at the end of each chapter extend chapter concepts into new areas, inviting students to think about and apply what they have learned. 2)"Statistics Today"--The outline and learning objectives at the beginning of each chapter are followed by Statistics Today, a real-life problem that shows students the relevance of the material in the chapter.

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Statistics & Probability

International Edition

NEW

* Available bundled with ALEKS for Statistics. ALEKS provides students and instructors with continuous assessment, constantly updating and providing feedback based on each student's individual learning path. Students only work on the topics they are ready to work on.

ELEMENTARY STATISTICS: A STEP BY STEP APPROACH Sixth Edition

CONTENTS

1 The Nature of Probability and Statistics 1-1 Introduction 1-2 Descriptive and Inferential Statistics 1-3 Variables and Types of Data 1-4 Data Collection and Sampling Techniques 1-5 Observational and Experimental Studies 1-6 Uses and Misuses of Statistics 1-7 Computers and Calculators 1-8 Summary 2 Frequency Distributions and Graphs 2-1 Introduction 2-2 Organizing Data 2-3 Histograms, Frequency Polygons, and Ogives 2-4 Other Types of Graphs 2-5 Summary 3 Data Description 3-1 Introduction 3-2 Measures of Central Tendency 3-3 Measures of Variation 3-4 Measures of Position 3-5 Exploratory Data Analysis 3-6 Summary 4 Probability and Counting Rules 4-1 Introduction 4-2 Sample Spaces and Probability 4-3 The Addition Rules for Probability 4-4 The Multiplication Rules and Conditional Probability 4-5 Counting Rules 4-6 Probability and Counting Rules 4-7 Summary 5 Discrete Probability Distributions 5-1 Introduction 5-2 Probability Distributions 5-3 Mean, Variance, Standarddeviation, and Expectation 5-4 The Binomial Distribution 5-5 Other Types of Distributions (Optional) 5-6 Summary 6 The Normal Distribution 6-1 Introduction 6-2 Properties of the Normal Distribution 6-3 The Standard Normal Distribution 6-4 Applications of the Normal Distribution 6-5 The Central Limit Theorem 6-6 The Normal Approximation to the Binomial Distribution 6-7 Summary 7 Confidence Intervals and Sample Size 7-1 Introduction 7-2 Confidence Intervals for the Mean (s Known or n©30) 7-3 Confidence Intervals for the Mean (s Unknown or n<30) 7-4 Confidence Intervals and Sample Size for Proportions 7-5 Confidence Intervals for Variances and Standard Deviations 7-6 Summary 8 Hypothesis Testing 8-1 Introduction 8-2 Steps in Hypothesis Testing--Traditional Method 8-3 z Test for a Mean 8-4 t Test for a Mean 8-5 z Test for a Proportion 8-6 Chi Square test for a Variance or Standard Deviation 8-7 Additional Topics Regarding Hypothesis Testing 8-8 Summary 9 Testing the Difference Between Two Means, Two Variances, and Two Proportions 9-1 Introduction 9-2 Testing the Difference Between Two Means: Large Samples 9-3 Testing the Difference Between Two Variances 9-4 Testing the Difference Between Two Means: Small Independent Samples 9-5 Testing the Difference Between Two Means: Small Dependent Samples 9-6 Testing the Difference Between Proportions 9-7 Summary 10 Correlation and Regression 10-1 Introduction 10-2 Scatter Plots 10-3 Correlation 10-4 Regression 10-5 Coefficient of Determination and Standard Error of the Estimate 10-6 Multiple Regression (Optional) 10-7 Summary 11 Other Chi-Square Tests. 11-1 Introduction 11-2 Test for Goodness of Fit 11-3 Tests Using Contingency Tables 11-4 Summary 12 Analysis of Variance 12-1 Introduction 12-2 One-Way Analysis of Variance 12-3 The Scheffé Test and the Tukey Test 12-4 Two-Way Analysis of Variance 12-5 Summary 13 Nonparametric Statistics 13-1 Introduction 13-2 Advantages and Disadvantages of Nonparametric Methods 13-3 The Sign Test 13-4 The Wilcoxon Rank Sum Test 13-5 The Wilcoxon Signed-Rank Test 13-6 The Kruskal-Wallis Test 13-7 The Spearman Rank Correlation Coefficient and the Runs Test 13-8 Summary 14 Sampling and Simulation 14-1 Introduction 14-2 Common Sampling Techniques 14-3 Surveys and Questionnaire Design 14-4 Simulation Techniques 14-5 The Monte Carlo Method 14-6 Summary Appendix A: Algebra Review Appendix B-1: Writing the Research Report. Appendix B-2: Bayes's Theorem. Appendix B-3: Alternate Method for the Standard Normal Distribution. Appendix C: Tables. Appendix D: Data Bank. Appendix E: Glossary. Appendix F: Bibliography. Appendix G: Photo Credits. Appendix H: Selected Answers

By Allan G. Bluman, Community College Of Allegheny CountySouth 2007 (December 2005) ISBN-13: 978-0-07-325163-9 / MHID: 0-07-325163-1 (with MathZone) ISBN-13: 978-0-07-110838-6 / MHID: 0-07-110838-6 [IE with MathZone]

Browse http://www.mhhe.com/bluman ELEMENTARY STATISTICS: A STEP BY STEP APPROACH is for general beginning statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition places more emphasis on conceptual understanding and understanding results. This edition also features increased emphasis on Excel, MINITAB, and the TI-83 Plus and TI 84-Plus graphing calculators, computing technologies commonly used in such courses. NEW TO THIS EDITION

* Many elements in the book were updated based on newer, real data. New "Speaking of Statistics", "Critical Thinking Challenges", "Statistics Today", and worked examples were added to this edition. * 300 new exercises most based on actual data were added to the book. Additionally, many exercises were rewritten asking students to interpret the results they just found. * A new feature, "Applying the Concepts" was added to each section and appears prior to each exercise set. Most contain open-ended questions that require critical thinking and interpretation. "Applying the Concepts" can be used for homework assignments or used as topics for in-class discussion or group work.

FEATURES

* "Technology Step by Step" sections show how to solve basic problems using Minitab software, the TI-83 Plus and TI-84Plus graphing calculators, or Excel. Students can concentrate on ideas rather than software syntax; they learn to translate easily from problem-solving procedures to on-screen commands. * More examples and exercises based on actual data. Students are motivated by seeing statistics applied to the real world, as they learn to work with "messy" numbers (rather than data contrived for easy computation). * Statistics Today problems open every chapter. These real-life problems, accompanied by a photo or graphic and sometimes a news item, show students the relevance of the chapter's topic. The answer is provided at chapter end. Students apply concepts and procedures to real-world. * Procedure Tables embody the book's step by step approach. These boxes summarize methods for solving various types of common problems. Worked examples include EVERY step. Since they can refer to the Procedure Tables, students are never "at sea" while working exercises. Through practice, the procedures become second nature. * Critical Thinking Challenges at the end of each chapter extend chapter concepts into new areas, inviting students to think about and apply what they have learned. By considering broader implications of basic statistical concepts, students deepen their understanding. * Section 13-3, on the Scheffe Test and the Tukey Test, covers material not available in some other introductory statistics texts. These topics can be important in a two-semester course or a course emphasizing research methods.

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Statistics & Probability

International Edition

NEW

ALEKS FOR STATISTICS USER'S GUIDE WITH SIX WEEK ACCESS CODE (STAND ALONE)

by ALEKS Corporation, ALEKS Corporation 2003 / 24 pages ISBN-13:978-0-07-284458-0 / MHID: 0-07-284458-2

READY, SET, GO! A STUDENT GUIDE TO SPSS ® 13.0 AND 14.0 FOR WINDOWS Second Edition

by Thomas Pavkov and Kent Price of Purdue University-CalumetHammond 2007 (February 2006) / 96 pages ISBN-13: 978-0-07-312665-4 / MHID: 0-07-312665-9 ISBN-13: 978-0-07-125297-3 / MHID: 0-07-125297-5 [IE]

http://www.highed.aleks.com CONTENTS

1 Preface. 2 Technical Requirements. 3 Registration & Installation. 4 Tutorial. 5 Assessments and Learning. 5.1 Assessments. 5.2 Results. 5.3 Learning Mode. 5.4 Progress in the Learning Mode. 5.5 Additional Features. 6 Logging on to Your Account. 7 Installation on Additional Machines. 8 Guidelines for Effective Use. 9 Frequently Asked Questions. 10 Troubleshooting

This guide features concise instructions for accessing and using SPSS for Windows. Ready, Set, Go! is more than a reference book for versions 13.0 and 14.0; through ten guided assignments, students learn about statistical analysis of data while also learning the steps in the research process. The students are guided through assignments such as using frequency distributions, performing the t test, using the one-way ANOVA procedure, computing a correlation, and computing chi-square function. NEW TO THIS EDITION

The useful appendix on using programs other than SPSS has been updated and expanded to include datasets as well as information on loading text data files with the Text Wizard. All screen shots and exercises have been updated to reflect SPSS 13.0-14.0.

International Edition

ALEKS FOR STATISTICS USER'S GUIDE WITH ONE SEMESTER ACCESS CODE (STAND-ALONE)

by ALEKS Corporation, ALEKS Corporation 2003 / 24 pages ISBN-13: 978-0-07-249988-9 / MHID: 0-07-249988-5 ISBN-13: 978-0-07-119972-8 / MHID: 0-07-119972-1 [IE]

FEATURES

"On Your Own" sections at the end of each chapter offer learning tasks that encourage students to undertake independent computer assignments.

ALEKS FOR STATISTICS USER'S GUIDE WITH TWO TERM ACCESS CODE (STAND ALONE)

by ALEKS Corporation, ALEKS Corporation 2003 / 24 pages ISBN-13: 978-0-07-252400-0 / MHID: 0-07-252400-6

CONTENTS

Preface / Assignment 1 Learning the Basics of SPSS Assignment 2 Looking at Frequency Distributions and Descriptive Statistics Assignment 3 Presenting Data in Graphic Form Assignment 4 Testing Research Hypotheses for Two Independent Samples Assignment 5 Testing Research Hypotheses About Two Related Sampled Assignment 6 Comparing Independent Samples with One-Way ANOVA Assignment 7 Comparing Related Samples with One-Way ANOVA Assignment 8 Measuring the Simple Relationship Between Two Variables Assignment 9 Describing the Linear Relationship Between Two Variables Assignment 10 Assessing the Association Between Two Categorical Variables Appendix Entering Data Using Programs Other Than SPSS

ALEKS FOR STATISTICS USER'S GUIDE WITH QUARTER TERM ACCESS CODE (STAND ALONE)

by ALEKS Corporation, ALEKS Corporation 2003 / 24 pages ISBN-13: 0-07-284457-3 / MHID: 0-07-284457-4

RESEARCH PROJECTS IN STATISTICS

International Edition

LECTURES IN ELEMENTARY PROBABILITY THEORY AND STOCHASTIC PROCESSES

by Jean-Claude Falmagne 2003 / 288 pages ISBN-13: 978-0-07-244890-0 / MHID: 0-07-244890-3 ISBN-13: 978-0-07-122975-3 / MHID: 0-07-122975-2 [IE]

by Joseph Kincaid, Blue Cross and Blue Shield of Kansas City 2004 / Softcover / 80 pages ISBN-13: 978-0-07-294681-9 / MHID: 0-07-294681-4

http://www.mhhe.com/kincaid CONTENTS

Overview: Motivation for the project. Schedule for the project. Group Communication: Purpose of the communication plan. Contents of the communication plan. Project Ideas: Purpose of the list of ideas. Generating research questions. Requirements for the research project. Example of a list of ideas. The Research Proposal: Purpose of the research proposal. Contents of the research proposal. Examples of research proposals. Data Collection: Purpose of the data collection stage. Characteristics of good data: Integrity. Characteristics of good data: Accuracy. Collecting the data. That data collection report. Examples of data collection. Data Analysis: Purpose of the data analysis. Types of data analysis. Preparing the data for analysis. Examples of data analysis. Presenting the Results: The overall presentation. The oral presentation. The written report. Examples of written reports. Comments on Student Examples: Comments on the list of ideas. Comments on the research proposals. Comments on the data collection. Comments on the written reports

CONTENTS

1 Preliminaries. 2 Sample Space and Events. 3 Probability and Area. 4 Probability Measures. 5 Basic Rules of Probability Calculus. 6 Sampling. 7 Counting Subsets. 8 Discrete Distributions. 9 Conditional Probabilities. 10 Independence and Bayes Theorem. 11 The Principle of Maximum Likelihood. 12 Random Variables. 13 Distribution Functions. 14 Continuous Random Variables. 15 Expectation and Moments. 16 Covariance and Correlation. 17 The Law of Large Numbers. 18 Moment Generating Functions. 19 Multivariate Distributions. 20 Bivariate Normal Distributions. 21 Finite Markov Chains, Basic Concepts. 22 Homogeneous Markov Chains. 23 Random Walks. 24 Poisson Processes. Solutions and Hints for Selected Problems. Glossary of Symbols. Index. Bibliography

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Statistics & Probability

SCHAUM'S OUTLINE OF ELEMENTS OF STATISTICS II Inferential Statistics SCHAUM'S EASY OUTLINES: STATISTICS

by Stephen Bernstein and Ruth Bernstein, University of Colorado 2000 / 480 pages ISBN-13: 978-0-07-134637-5 / MHID: 0-07-134637-6 by Murray R Spiegel (Deceased) and David P. Lindstrom 2000 / 138 pages ISBN-13: 978-0-07-116984-6 / MHID: 0-07-052712-1

A Schaum Publication

CONTENTS

Variables and Graphs. Measures of Central Tendency and Dispersion. Elementary Probability Theory. The Binomial, Normal, and Poisson Distributions. Elementary Sampling Theory. Statistical Estimation Theory. Statistical Decision Theory. Small Sampling Theory. The Chi-Square Test. Curve Fitting and the Method of Least Squares. Correlation Theory. Multiple and Partial Correlation. Analysis of Variance. Nonparametric Tests. Appendices: A: Areas Under the Standard Normal Curve. B: Student's t Distribution. C: Chi-Square Distribution. D: 99th Percentile Values for the F Distribution

A Schaum Publication

International Edition

SCHAUM'S OUTLINE OF PROBABILITY Second Edition

by Seymour Lipschutz, Temple University 2000 / 224 pages ISBN-13: 978-0-07-135203-1 / MHID: 0-07-135203-1 ISBN-13: 978-0-07-118356-7 / MHID: 0-07-118356-6 [IE]

A Schaum Publication

(International Edition is not for sale in Japan.) CONTENTS

Set Theory. Techniques of Counting. Introduction to Probability. Conditional Probability and Independence. Random Variables. Binomial, Normal and Poisson Distributions. Markov Chains. Appendices: Descriptive Statistics. Chi-Square Distribution.

SCHAUM'S OUTLINE OF ELEMENTS OF STATISTICS I Differential Statistics and Probability

by Stephen Bernstein and Ruth Bernstein, University of Colorado 1999 / 368 pages ISBN-13: 978-0-07-005023-5 / MHID: 0-07-005023-6

A Schaum Publication

CONTENTS

Mathematics Required for Statistics. Characteristics of the Data. Populations, Samples, and Statistics. Descriptive Statistics: Organizing the Data Into Tables. Descriptive Statistics: Graphing the Data. Descriptive Statistics: Measures of Central Tendency, Average Value, and Location. Descriptive Statistics: Measures of Dispersion. Probability: The Classical, Relative Frequency, Set Theory, and Subjective Interpretations. Probability: Rules for Multiplication and Division, Marginal Probabilities and Bayes' Theorem, Tree Diagrams and Counting Rules. Random Variables, Probability Distributions, Cumulative Distribution Functions, and Expected Values.

International Edition

STATISTICS: A FIRST COURSE Sixth Edition

by Donald H. Sanders, Education Consultant and Robert Smidt, California Polytechnic State University - San Luis Obispo 2000 / 736 pages ISBN-13: 978-0-07-233217-9 / MHID: 0-07-233217-4 (with CD-ROM) ISBN-13: 978-0-07-116984-4 / MHID: 0-07-116984-9 [IE with CD-ROM]

CONTENTS

Let's Get Started. Looking Ahead.Looking Back/Review Exercises/Topics For Review And Discussion/Projects/Issues To Consider/Computer Exercises. Descriptive Statistics. Probability Concepts. Probability Distributions. Sampling Concepts. Estimating Parameters. Testing Hypotheses: One Sample Procedures. Inference: Two-Sample Procedures. Analysis of Variance. Chi-Square Tests: Goodness-of-Fit and Contingency Table Methods. Linear Regression and Correlation. Nonparametric Statistical Methods. Appendices. Selected Values of the Binomial Probability Distribution. Areas under the Standard Normal Probability Distribution. A Brief Table of Random Numbers. Areas for t Distributions. F Distribution Tables. Chi-Square Distribution. Critical Values of T for Level of Significance = .05 and Level of Significance = .01 in the Wilcoxon Signed Rank Test. Distribution of U in the Mann-Whitney Test. Critical Values for r in the Runs Test for Randomness. Selected Values of the Poisson Probability Distribution. Entering and Editing Data in Minitab. Answers to Odd-Numbered Exercises.

SCHAUM'S OUTLINE OF STATISTICS Third Edition

by Murray R Spiegel, Rensselaer Polytechnic Institute 1999 / 560 pages ISBN-13: 978-0-07-060281-6 / MHID: 0-07-060281-6

A Schaum Publication

SCHAUM'S OUTLINE OF INTRODUCTION TO PROBABILITY AND STATISTICS

by Seymour Lipschutz and Jack Schiller, Temple University 1998 / 384 pages ISBN-13: 978-0-07-038084-4 / MHID: 0-07-038084-8

A Schaum Publication

CONTENTS

Part I: Descriptive Statistics and Probability. Preliminary: Descriptive Statistics. Sets and Counting. Basic Probability. Conditional Probability and Independence. Random Variables. Binomial and Normal Distributions. Part II: Inferential Statistics. Sampling Distributions. Confidence Intervals for A Single Population. Hypotheses Tests for A Single Population. Inference for Two Populations. Chi-Square Tests and Analysis of Variance.

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Statistics & Probability

International Edition

SCHAUM'S OUTLINE OF SET THEORY AND RELATED TOPICS Second Edition

Two Proportions: Estimation. Coparing Two Proportions: Hypothesis Testing. 10 Comparing Two Means and Two Variances. Point Estimation. Comparing Variances: The F Distribution. Comparing Means: Variances Equal (Pooled Test). Comparing Means: Variances Unequal. Compairing Means: Paried Data. Alternative Nonparametric Methods. A Note on Technology. 11 Sample Linear Regression and Correlation. Model and Parameter Estimation. Properties of Least-Squares Estimators. Confidence Interval Estimation and Hypothesis Testing. Repeated Measurements and Lack of Fit. Residual Analysis. Correlation. 12 Multiple Linear Regression Models. Least-Squares Procedures for Model Fitting. A Matrix Approach to Least Squares. Properties of the Least-Squares Estimators. Interval Estimation. Testing Hypotheses about Model Parameters. Use of Indicator or "Dummy" Variables. Criteria for Variable Selection. Model Transformation and Concluding Remarks. 13 Analysis of Variance. One-Way Classification Fixed-Effects Model. Comparing Variances. Pairwise Comparison. Testing Contrasts. Randomized Complete Block Design. Latin Squares. Random-Effects Models. Design Models in Matrix Form. Alternative Nonparametric Methods. 14 Factorial Experiments. Two-Factor Analysis of Variance. Extension to Three Factors. Random and Mixed Model Factorial Experiments. 2^k Factorial Experiments. 2^k Factorial Experiments in an Incomplete Block Design. Fractional Factorial Experiments. 15 Categorical Data. Multinomial Distribution. Chi-Squared Goodness of Fit Tests. Testing for Independence. Comparing Proportions. 16 Statistical Quality Control. Properties of Control Charts. Shewart Control Charts for Measurements. Shewart Control Charts for Attributes. Tolerance Limits. Acceptance Sampling. TwoStage Acceptance Sampling. Extensions in Quality Control. Appendix A Statistical Tables. Appendix B Answers to Selected Problems. Appendix C Selected Derivations

by Seymour Lipschutz, Temple University 1998 / 200 pages ISBN-13: 978-0-07-038159-9 / MHID: 0-07-038159-3 ISBN-13: 978-0-07-116494-8 / MHID: 0-07-116494-4 [IE]

A Schaum Publication

(International Edition is not for sale in Japan.) CONTENTS

Sets and Subsets. Basic Set Operators. Sets of Numbers. Functions. Product Sets and Graphs of Functions. Relations. Further Theory of Sets. Further Theory of Functions, Operations. Cardinal Numbers. Partially and Totally Ordered Sets. Well-Ordered Sets/Ordinal Numbers. Axiom of Choice. Paradoxes in Set Theory. Algebra of Propositions. Quantifiers. Boolean Algebra. Logical Reasoning.

Statistics And Probability (Calculus)

International Edition

INTRODUCTION TO PROBABILITY AND STATISTICS: PRINCIPLES AND APPLICATIONS FOR ENGINEERING AND THE COMPUTING SCIENCES Fourth Edition

SCHAUM'S OUTLINE OF PROBABILITY AND STATISTICS Second Edition

by Murray R Spiegel (deceased), John Schiller and Alu Srinivasan, both of Temple University 2000 / 304 pages ISBN-13: 978-0-07-135004-4 / MHID: 0-07-135004-7

A Schaum Publication

CONTENTS

Basic Probability. Random Variables. Expected Value. Special Probability Distributions. Sampling Theory. Estimation Theory. Statistical Hyupotheses. Regression and Correlations. Analysis of Variance. Nonparametric Method.

by J Susan Milton, Emeritus, Radford University and Jesse C Arnold, Virginia Polytechnic Institute 2003 / 816 pages ISBN-13: 978-0-07-246836-6 / MHID: 0-07-246836-X ISBN-13: 978-0-07-124248-6 / MHID: 0-07-124248-1 [IE]

http://www.mhhe.com/miltonarnold CONTENTS

1 Introduction to Probability and Counting: Interpreting Probabilities. Sample Spaces and Events. Permutations and Combinations. 2 Some Probability Laws. Axioms of Probability. Conditional Probability. Independence and the Multiplication Rule. Bayes' Theorem. 3 Discrete Distributions. Random Variables. Discrete Probablility Densities. Expectation and Distribution Parameters. Geometric Distribution and the Moment Generating Function. Binomial Distribution. Negative Binomial Distribution. Hypergeometric Distribution. Poisson Distribution. 4 Continuous Distributions. Con-tinuous Densities. Expectation and Distribution Parameters. Gamma Distribution. Normal Distri-bution. Normal Probability Rule and Chebyshev's Inequality. Normal Approximation to the Binomial Distribution. Weibull Distribution and Reliability. Transformation of Variables. Simulating a Continuous Distribution. 5 Joint Distributions. Joint Densities and Independence. Expectation and Covariance. Correlation. Conditional Densities and Regression. Transformation of Variables. 6 Descriptive Statistics. Random Sampling. Picturing the Distribution. Sample Statistics. Boxplots. 7 Estimation. Point Estimation. The Method of Moments and Maximum Likelihood. Functions of Random Variables - Distribution of X. Interval Estimation and the Central Limit Theorem. 8 Inferences on the Mean and Variance of a Distribution. Interval Estimation of Variability. Estimating the Mean and the Student-t Distribution. Hypothesis Testing. Significance Testing. Hypothesis and Significance Tests on the Mean. Hypothesis Tests. Alternative Nonparametric Methods. 9 Inferences on Proportions. Estimating Proportions. Testing Hypothesis on a Proportion. Comparing

International Edition

INTRODUCTION TO THE THEORY OF STATISTICS Third Edition

by Alexander M. Mood, University of California, Irvine Franklin A. Graybill, Duane C. Boes, both of Colorado State University 1974 / 480 pages ISBN-13: 978-0-07-042864-5 / MHID: 0-07-042864-6 (Out-of-Print) ISBN-13: 978-0-07-085465-9 / MHID: 0-07-085465-3 [IE]

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Statistics & Probability

Applied Statistics - Science, Health And Biostatistics

STATISTICS FOR THE UTTERLY CONFUSED Second Edition

By Lloyd R. Jaisingh 2006 / 352 pages / Softcover ISBN-13: 978-0-07-146193-1 / MHID: 0-07-146193-0

Applied Statistics - Engineering

International Edition

NEW

STATISTICS FOR ENGINEERS AND SCIENTISTS Second Edition

by William Navidi, Colorado School of Mines 2008 (Janurary 2007) / 675 pages ISBN-13: 978-0-07-330949-1 / MHID: 0-07-330949-4 ISBN-13: 978-0-07-110022-3 / MHID: 0-07-110222-1 [IE]

When it comes to understanding statistics, even good students can be confused. Perfect for students in any introductory noncalculus-based statistics course, and equally useful to professionals working in the world, Statistics for the Utterly Confused is your ticket to success. Statistical concepts are explained step-by-step and applied to such diverse fields as business, economics, finance, and more. The message of Statistics for the Utterly Confused is simple: you don't have to be confused anymore. Updated and expanded to give you the latest changes in the field, this up-to-the-minute edition includes many new examples of Excel output, the most widely used of all statistics programs; a new chapter on Analysis of Variance (ANOVA); and 200 additions to the 700 self-testing questions and answers. The expert author's Web site also gives you tons of fresh examples, practice problems, and strategies--so you can go from utterly confused to totally prepared in no time! Inside, you'll discover how to: Grasp the meaning of everyday statistical concepts Find out what's probable and what isn't Read, understand, and solve statistics problems Improve your scores on exams Use your skills in any field

Browse http://www.mhhe.com/navidi2 The second edition of this book is intended to extend the strengths of the first. Some of the changes are: · More than 200 new exercises have been added. · A new section on point estimation has been added to Chapter 4. · The material on histograms in Chapter 1 has been completely revised. · Chapter 2 now contains a discussion of Chebyshev's inequality. · Chapter 4 now contains a discussion of the uniform distribution. · The section on the normal distribution contains a discussion on linear functions of normal random variables. · Chapter 7 contains additional material on the correlation coefficient. · Chapter 10 contains a discussion of the relationship between control charts and hypothesis tests. · The exposition has been improved in a number of places. Also new for this edition is the ARIS online course management system. ARIS provides automatic grading of student assignments and keeps a record of students' grades. In addition, ARIS contains problems for student practice, along with Java applets that allow students to interactively explore ideas in the text. Customizable PowerPoint lecture notes for each chapter are available as well, along with suggested syllabi, and other features. More information can be found at aris.mhhe.com. About the Author William Navidi is Professor of Mathematical and Computer Sciences at the Colorado School of Mines. He received the B.A. degree in mathematics from New College, the M.A. in mathematics from Michigan State University, and the Ph.D. in statistics from the University of California at Berkeley. Professor Navidi has authored more than 50 research papers both in statistical theory and in a wide variety of applications includingcomputer networks, epidemiology, molecular biology, chemical engineering, and geophysics. NEW TO THIS EDITION

McGraw-Hill's ARIS online Homework Manager has been added to this edition and features algorithmic problems and gradebook capability. Instructors will have access to data sets, solutions, lecture powerpoints, and images from the text. Over 180 new homework problems have been added throughout.

International Edition

INTRODUCTION TO BIOSTATISTICS

by Thomas Glover, Hobart & Wm Smith College and Kevin Mitchell, Hobart & Wm Smith College 2002 / 432 pages ISBN-13: 978-0-07-241841-5 / MHID: 0-07-241841-9 (Out of Print) ISBN-13: 978-0-07-123743-7 / MHID: 0-07-123743-7 [IE]

FEATURES

An engaging writing style explains difficult concepts clearly. While including the mathematics necessary for clear understanding, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition. Contemporary, real world data sets are one of the defining features of this text. With a fresh approach to the subject, the author uses contemporary data sets to help motivate students and show direct connection to industry and research. In line with modern trends, the text contains exercises suitable for solving with computer software. These examples and exercises involve interpreting, as well as generating, computer output. The student edition of MINITAB, the widely used statistical software package, is available bundled with the text. A separate chapter provides extensive coverage of propagation of error, sometimes called "error analysis" or the "delta method." The

http://www.mhhe.com/biosci/pae/zoology/glover/index.mhtml CONTENTS

1 Introduction to Data Analysis. 2 Introduction to Probability. 3 Probability Distributions. 4 Sampling Distributions. 5 Introduction to Hypothesis Testing. 6 One-Sample Tests of Hypothesis. 7 Tests of Hypothesis Involving Two Samples. 8 k-Sample Tests of Hypothesis: The Analysis of Variance. 9 Two-Factor Analysis. 10 Linear Regression and Correlation. 11 Goodness of Fit Tests for Categorical Data. Appendixes: A Proofs of Selected Results. B Answers to Even-Numbered Problems. C Tables of Distributions and Critical Values

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coverage is more extensive than in most texts, with a flexible format allowing instructors to easily cover selected topics. The text presents an extensive, self-contained introduction to simulation methods at a level appropriate for introductory students, including the bootstrap and applications to estimating probabilities, estimating bias, computing confidence intervals, and testing hypotheses. The text provides more extensive coverage of linear model diagnostic procedures than is found in most competing texts including a lengthy section on checking model assumptions and transforming variables. The coverage emphasizes that linear models are appropriate only when the relationship between variables is linear. This point is all the more important since it is often overlooked in practice by engineers and scientists (not to mention statisticians). Flexible presentation of probability addresses the needs of different courses. Allowing for a mathematically rigorous approach, the major results are derived from axioms, with proofs given for most of them. Each result is illustrated with an example or two to promote intuitive understanding. Instructors who prefer a more informal approach may therefore focus on the examples rather than the proofs and skip the optional sections.

International Edition

INTRODUCTION TO PROBABILITY AND STATISTICS Principles and Applications for Engineering and the Computing Sciences, Fourth Edition

by J Susan Milton, Emeritus, Radford University and Jesse C Arnold, Virginia Polytechnic Institute 2003 / 816 pages ISBN-13: 978-0-07-246836-6 / MHID: 0-07-246836-X ISBN-13: 978-0-07-124248-6 / MHID: 0-07-124248-1 [IE]

http://www.mhhe.com/miltonarnold CONTENTS

1 Introduction to Probability and Counting: Interpreting Probabilities. Sample Spaces and Events. Permutations and Combinations. 2 Some Probability Laws. Axioms of Probability. Conditional Probability. Independence and the Multiplication Rule. Bayes' Theorem. 3 Discrete Distributions. Random Variables. Discrete Probablility Densities. Expectation and Distribution Parameters. Geometric Distribution and the Moment Generating Function. Binomial Distribution. Negative Binomial Distribution. Hypergeometric Distribution. Poisson Distribution. 4 Continuous Distributions. Con-tinuous Densities. Expectation and Distribution Parameters. Gamma Distribution. Normal Distri-bution. Normal Probability Rule and Chebyshev's Inequality. Normal Approximation to the Binomial Distribution. Weibull Distribution and Reliability. Transformation of Variables. Simulating a Continuous Distribution. 5 Joint Distributions. Joint Densities and Independence. Expectation and Covariance. Correlation. Conditional Densities and Regression. Transformation of Variables. 6 Descriptive Statistics. Random Sampling. Picturing the Distribution. Sample Statistics. Boxplots. 7 Estimation. Point Estimation. The Method of Moments and Maximum Likelihood. Functions of Random Variables - Distribution of X. Interval Estimation and the Central Limit Theorem. 8 Inferences on the Mean and Variance of a Distribution. Interval Estimation of Variability. Estimating the Mean and the Student-t Distribution. Hypothesis Testing. Significance Testing. Hypothesis and Significance Tests on the Mean. Hypothesis Tests. Alternative Nonparametric Methods. 9 Inferences on Proportions. Estimating Proportions. Testing Hypothesis on a Proportion. Comparing Two Proportions: Estimation. Coparing Two Proportions: Hypothesis Testing. 10 Comparing Two Means and Two Variances. Point Estimation. Comparing Variances: The F Distribution. Comparing Means: Variances Equal (Pooled Test). Comparing Means: Variances Unequal. Compairing Means: Paried Data. Alternative Nonparametric Methods. A Note on Technology. 11 Sample Linear Regression and Correlation. Model and Parameter Estimation. Properties of Least-Squares Estimators. Confidence Interval Estimation and Hypothesis Testing. Repeated Measurements and Lack of Fit. Residual Analysis. Correlation. 12 Multiple Linear Regression Models. Least-Squares Procedures for Model Fitting. A Matrix Approach to Least Squares. Properties of the Least-Squares Estimators. Interval Estimation. Testing Hypotheses about Model Parameters. Use of Indicator or "Dummy" Variables. Criteria for Variable Selection. Model Transformation and Concluding Remarks. 13 Analysis of Variance. One-Way Classification Fixed-Effects Model. Comparing Variances. Pairwise Comparison. Testing Contrasts. Randomized Complete Block Design. Latin Squares. Random-Effects Models. Design Models in Matrix Form. Alternative Nonparametric Methods. 14 Factorial Experiments. Two-Factor Analysis of Variance. Extension to Three Factors. Random and Mixed Model Factorial Experiments. 2^k Factorial Experiments. 2^k Factorial Experiments in an Incomplete Block Design. Fractional Factorial Experiments. 15 Categorical Data. Multinomial Distribution. Chi-Squared Goodness of Fit Tests. Testing for Independence. Comparing Proportions. 16 Statistical Quality Control. Properties of Control Charts. Shewart Control Charts for Measurements. Shewart Control Charts for Attributes. Tolerance Limits. Acceptance Sampling. TwoStage Acceptance Sampling. Extensions in Quality Control. Appendix A Statistical Tables. Appendix B Answers to Selected Problems. Appendix C Selected Derivations

CONTENTS

1 Sampling and Descriptive Statistics 2 Probability 3 Propagation of Error 4 Commonly Used Distributions 5 Confidence Intervals 6 Hypothesis Testing 7 Correlation and Simple Linear Regression 8 Multiple Regression 9 Factorial Experiments 10 Statistical Quality Control A Tables B Partial Derivatives C Suggestions for Further Reading Answers to Selected Exercises Index

MULTIVARIATE STATISTICAL METHODS IN QUALITY MANAGEMENT

by Kai Yang and Jayant Trewn 2004 / Hardcover / 299 pages ISBN-13: 978-0-07-143208-5 / MHID: 0-07-143208-6

Professional Book

CONTENTS

Chapter 1: Multivariate Statistical Methods and Quality. Chapter 2: Graphical Multivariate Data Display and Data Stratification. Chapter 3: Introduction to Multivariate Random Variables, Normal Distribution, and Sampling Properties. Chapter 4: Multivariate Analysis of Variance. Chapter 5: Principal Component Analysis and Factor Analysis. Chapter 6: Discriminant Analysis. Chapter 7: Cluster Analysis. Chapter 8: Mahalanobis Distance and Taguchi Method. Chapter 9: Path Analysis and the Structural Method. Chapter 10: Multivariate Statistical Process Control. Appendix: Probability Distribution Tables. References. Index

INVITATION TO PUBLISH

McGraw-Hill is interested in reviewing manuscript for publication. Please contact your local McGraw-Hill office or email to [email protected]

Visit McGraw-Hill Education (Asia) Website: www.mcgraw-hill.com.sg

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Business Statistics

International Edition

prehensive, visual walk-throughs that feature complete screen captures and step-by-step examples. These step-by-step examples and summary boxes will clearly aid student understanding of what often can be overwhelming content. Continuing Cases throughout textbook

NEW

CONTENTS

Chapter 1: An Introduction to Business Statistics Chapter 2: Descriptive Statistics Chapter 3: Probability Chapter 4: Discrete Random Variables Chapter 5: Continuous Random Variables Chapter 6: Sampling Distributions Chapter 7: Confidence Intervals Chapter 8: Hypothesis Testing Chapter 9: Statistical Inferences Based on Two Samples Chapter 10: Experimental Design and Analysis of Variance Chapter 11: Chi Square Tests Chapter 12: Simple Linear Regression Analysis Chapter 13: Multiple Regression and Model-Building Chapter 14: Process Improvement Using Control (On CD ROM) Appendix A. Statistical Tables Appendix B. Covariance and Correlation Appendix C (1) Counting Rules Appendix C (2) The Hypergeometric Distribution Appendix D The Normal Probability Plot Appendix E Two-Way Analysis of Variance (On CD ROM)

ESSENTIALS OF BUSINESS STATISTICS WITH STUDENT CD Second Edition

By Bruce Bowerman and Richard O'Connell of Miami University University, Oxford and J Burdeane Orris, Butler University 2008 (December 2006) ISBN-13: 978-0-07-331988-9 / MHID: 0-07-331988-0 ISBN-13: 978-0-07-128605-3 / MHID: 0-07-128605-5 [IE]

Browse http://www.mhhe.com/bowermaness2e The new edition of Essentials of Business Statistics delivers clear and understandable explanations of core business statistics concepts, making it ideal for a one term course in business statistics. Containing continuing case studies that emphasize the theme of business improvement, the text offers real applications of statistics that are relevant to today's business students. The authors motivate students by showing persuasively how the use of statistical techniques in support of business decision-making helps to improve business processes. A variety of computer centered examples and exercises, and a robust, technologybased ancillary package are designed to help students master this subject. NEW TO THIS EDITION

Business Improvement `Business Improvement' theme, connecting statistical analysis and business decision making, is highlighted and called out with BI icons in the book. The Z versus T Decision--The Z versus T decision is governed by sigma known-unknown rather than by sample size. This is a reasonably significant change reflecting a new and widely accepted direction in this course area. Hypothesis Testing Hypothesis testing is approached using a new stepped method, which makes the material easier to learn. This new method received outstanding reviews. Internet Tutorials and Exercises highlight real work applications and give students practice in gathering and using real data.

International Edition

NEW

STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS Thirteenth Edition

By Douglas Lind, Coastal Carolina University, William Marchal, University of Toledo and Samuel Wathen, Coastal Carolina University 2008 (October 2006) ISBN-13: 978-0-07-327296-2 / MHID: 0-07-327296-5 (with Student CD) ISBN-13: 978-0-07-128575-9 / MHID: 0-07-128575-X [IE with Student CD]

Browse http://www.mhhe.com/lind13e The new edition of Lind's Statistical Techniques in Business and Economics is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student-friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Self reviews and exercises for each section, and review sections for groups of chapters also support the student learning steps. Modern computing applications (Excel, Minitab, and MegaStat) are introduced, but the text maintains a focus on presenting statistics concepts as applied in business as opposed to technology or programming methods. The thirteenth edition continues as a students' text with increased emphasis on interpretation of data and results. NEW TO THIS EDITION

Z Versus T: The division between the z and t distributions is based sigma known or unknown rather than on sample sizes Multiple Regression: Treatment now includes an investigation of the theory behind the linear model along with tests for the violation of each assumption. Robust Technology Package: Lind 13e features additional detail in the software sections, is available with Homework Manager/Homework Manager Plus, and is available as a Zinio eBook. Excel, MegaStat, and Minitab are integrated throughout the text, in enough detail to support students. The comprehensive, user-friendly Student CD includes MegaStat, Visual Statistics, ScreenCam tutorials and additional study resources.

FEATURES

Revision of hypothesis testing material: The already superior treatment of hypothesis testing has been revised for greater clarity and comprehension, which will better enable students to grasp more complex topics. Increased coverage of descriptive statistics: In response to market demand, the new edition will include more coverage of descriptive statistics, better laying the ground work for much harder topics. The enhanced coverage will better equip students to comprehend more difficult topics. Regression Coverage: Has been revised and condensed to one chapter, material is now more concise and "flexible" allowing instructors to be more flexible in how they cover this topic. Business Improvement Theme. This text continues to present the theme of business improvement through statistical analysis consistently throughout each lesson. Since the ultimate goal in learning statistical analysis in business is to improve business processes, the authors feel that their use of this theme will clearly demonstrate that connection for students. This theme is the foundations for the many case studies and examples found in the text. Excel and Minitab appendices are found in virtually every chapter. These appendices illuminate chapter content through the use of com-

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FEATURES

Straightforward step-by-step presentation, supported by solved examples, self reviews, exercises and review sections-all combine to provide students a flexible dynamic learning tool. Larger data sets, with the files included on CD, and exercises aimed at using technology resources make this a practical and modern text. Realistic and relevant applications, optional computer and web-based exercises, and the wealth of resources on the Student CD provide Business students with a motivating, applied, learning experience. Color photos and design and hundreds of graphic illustrations provide attractive and unintimidating presentation for beginning undergraduate students.

NEW TO THIS EDITION

* Several new continuing case examples, with new data sets, have been added to the Fourth Edition. Where an example of a statistical technique is applied to reach a business solution, such instances are highlighted by an icon. * Certain chapters and sections have been abbreviated and generally tightened up, delivering a more concise, digestable presentation to students. * A greater number of basic exercises have been added, at the request of reviewers and users. * Output and instruction for SPSS has been selectively incorporated into the Fourth Edition, alongside Excel, Minitab, and Megastat. * Techiques in Hypothesis Testing have been re-cast in "steps" for greater student accessibility, and the Z vs T decision is now governed by sigma rather than sample size. * Chapters on Simple and Multiple Regression have been revised for a clearer and more concise presentation.

CONTENTS

Chapter 1: What Is Statistics? Chapter 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 3: Describing Data: Numerical Measures Chapter 4: Describing Data: Displaying and Exploring Data Chapter 5: A Survey of Probability Concepts Chapter 6: Discrete Probability Distributions Chapter 7: Continuous Probability Distributions Chapter 8: Sampling Methods and the Central Limit Theorem Chapter 9: Estimation and Confidence Intervals Chapter 10: One-Sample Tests of Hypothesis Chapter 11: TwoSample Tests of Hypothesis Chapter 12: Analysis of Variance Chapter 13: Linear Regression and Correlation Chapter 14: Multiple Regressions and Correlation Analysis Chapter 15: Index Numbers Chapter 16: Time Series and Forecasting Chapter 17: Nonparametric Methods: Chi-Square Application Chapter 18: Nonparametric Methods: Analysis of Ranked Data Chapter 19: Statistical Process Control and Quality Management Chapter 20: An Introduction to Decision Theory / MegaStat for Excel / Visual Statistics 2.0 / Appendixes / Photo Credits / Index

FEATURES

* Latest version of Megastat Excel-add-in package: The coverage and capabilities of the Megastat add-in package, included on the CD ROM that accompanies the book, have been greatly expanded to enhance calculation capabilities. Among the topics now handled by Megastat are: (for descriptive statistics): stem-and-leaf; dot plot; auto histograms; (for hypothesis testing) empirical idea for tolerance intervals, group comparison for unequal variance; comparison of means with unequal variances; test of equal variances; (for ANOVA): Factorial ANOVA; simultaneous inference; one-way design for ANOVA; (for Regression) residual plots; normal plots; outlying influence and observation diagnostics; variance inflation factors; model-building: all possible regressions; step-wise selection; (for NonParametrics) sign test; (for Time Series) decomposition method. * Thorough integration of Megastat: The Megastat Excel add-in package, available on the CD of the previous edition of the book, has now been thoroughly integrated into the text. As the authors do with Excel and Minitab, instruction in the use of Megastat, complete with step-by-step screen captures, is offered at the conclusion of most every chapter of the book providing students with clearer direction. * Internet tutorials and exercises highlight real work applications and give students practice in gathering and using real data. * Consistent theme of business improvement through statistical analysis. Since this is the ultimate goal for statistical analysis in business (to improve business processes), this is B & O's motto in the book. This theme is the foundations for the many case studies and examples found in the text. * Unique use of case studies that integrates different statistical areas. Many of BOH's unique case studies span not only within chapters, but also groups of chapters. This leads to additional student relevance, as they become familiar with the real decisions businesses face. * A real emphasis on the importance of variation. This starts in Chapter 1 and continues throughout the book. The practical, continuing case studies that permeate the book are consistently used to highlight this reality. * Utilization of a flexible topic flow that facilitates different topic choices and encourages different teaching approaches. * Modern use of the latest versions of Minitab, Excel.

International Edition

NEW

BUSINESS STATISTICS IN PRACTICE Fourth Edition

By Bruce L. Bowerman, and Richard T. O'Connell, both of Miami University Of Ohio-Oxford 2007 (December 2005) ISBN-13: 978-0-07-325291-9 / MHID: 0-07-325291-3 (with Student CD) ISBN-13: 978-0-07-110837-9 / MHID: 0-07-110837-8 [IE with Student CD]

The new edition of Business Statistics in Practice delivers clear and understandable explanations of business statistics concepts through the use of continuing case studies and an emphasis on business improvement. The cases and examples show real applications of statistics relevant to today's business students. The authors motivate students by showing persuasively how the use of statistical techniques in support of business decision-making helps to improve business processes. A variety of computer centered examples and exercises, and a robust, technologybased ancillary package are designed to help students master this subject. Acknowledging the importance of spreadsheets and statistical software in their statistical instruction, the authors continue to integrate Excel and Minitab output throughout the text. In addition, a new enhanced version of MegaStat, an Excel add-in program designed to optimize Excel for statistical application, is available free on the Student CD. For students and instructors who want to explore statistical concepts from a graphical perspective, Visual Statistics is again available on the Student CD. New Business Improvement icons are integrated throughout the text to illustrate the `BI' theme.

CONTENTS

1. An Introduction to Business Statistics. 2. Descriptive Statistics. 3. Probability 4. Discrete Random Variables. 5. Continuous Random Variables. 6. Sampling Distributions 7. Confidence Intervals. 8. Hypothesis Testing. 9. Statistical Inferences Based on Two Samples 10. Experimental Design and Analysis of Variance. 11. Simple Linear

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Regression Analysis 12. Multiple Regression and Model Building. 13. Time Series Forecasting. 14. Process Improvement Using Control Charts. 15. Nonparametric Methods. 16. Chi-Square Tests 17. Decision Theory Appendix A: Statistical Tables Appendix B: Covariance and Correlation Appendix C: · Part I: Counting Rules · Part II The Hypergeometric Distribution Appendix D: The Normal Probability Plot Appendix E: · Part I: Properties of the Mean and the Variance of a Random Variable, and Covariance Appendix F: · Part I: Stratified Random Sampling. Answers to Most Odd-Numbered Exercises. References. Index. Appendix E: (Part 2) Derivations of the Mean and Variance of x and p On CD-ROM. Appendix F: (Part 2) Cluster Sampling and Ratio Estimation On CD-ROM. Appendix G: Using Matrix Algebra to Perform Regression Calculations On CD-ROM Extended Examples used in each chapter: Two examples are used demonstrate the progression of techniques needed to solve each issue, these examples provide a realistic illustration of the concepts that are relevant to the student used in the text. One example is sales data from The Gap, while the other example uses domestic car sales data. Excel Data is presented: Excel is the leading calculation software used in business, and by consistently providing all the data in Excel, students recognize how easy it is to use with FORECAST X software. Screenshots of problems help students better conceptualize the problems: The edition includes many screenshots of actual problems; the data for each of these examples and problems is included on the accompanying CD.

CONTENTS

International Edition

NEW

BUSINESS FORECASTING WITH FORECAST X SOFTWARE Fifth Edition

Chapter 1 Introduction to Business Forecasting Chapter 2 The Forecast Process, Data Considerations, and Model Selection Chapter 3 Moving Averages and Exponential Smoothing Chapter 4 Introduction to Forecasting with Regression Methods Chapter 5 Forecasting with Multiple Regressions Chapter 6 Times-Series Decomposition Chapter 7 ARIMA (Box-Jenkins) Type Forecasting Models Chapter 8 Combining Forecast Results Chapter 9 Forecast Implications

By J. Holton Wilson, Central Michigan University, Barry Keating, University Of Notre Dame, and John Galt Solutions Inc. 2007 (December 2005) ISBN-13: 978-0-07-320398-0 / MHID: 0-07-320398-X (with Student CD) ISBN-13: 978-0-07-124494-7 / MHID: 0-07-124494-8 [IE with CD]

International Edition

COMPLETE BUSINESS STATISTICS Sixth Edition

By Amir D. Aczel , Bentley College 2006 / Hardcover ISBN-13: 978-0-07-312698-2 / MHID: 0-07-312698-5 (with Student CD) ISBN-13: 978-0-07-124416-9 / MHID: 0-07-124416-6 [IE with CD]

Browse http://www.mhhe.com/business/opsci/wilson5e The Fifth Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful software--Forecast X. This new edition presents a broad-based survey of business forecasting methods including subjective and objective approaches. As always, the author team of Wilson and Keating deliver practical how-to forecasting techniques, while theory and math are held to a minimum. This edition focuses on the most proven, acceptable methods used commonly in business and government such as regression, smoothing, decomposition, and Box-Jenkins. This new edition continues to integrate the most comprehensive software tool available in this market, Forecast X. With the addition of ForeCastX, this text provides the most complete and up-to-date coverage of forecasting concepts with the most technologically sophisticated software package on the market. This Excel-based tool (which received a 4 point out 5 rating from PC Magazine, Oct. 2, 2000 issue) effectively uses wizards and many tools to make forecasting easy and understandable. NEW TO THIS EDITION

Point-of-Sale (POS) Data featured: With new POS data, readers will be learning about an important issue to many businesses attempting to improve their long and short term planning. Supply Chain Issues discussed: The coverage of forecasting as it relates to supply chain issues has been increased to cover cutting-edge companies, such as Wal-Mart, and how they are establishing strong supply chain relationships and operations. New and Updated Data Mining coverage: Data Mining is shown to help deliver more accurate forecasts, resulting in better operations and marketing processes and practices. Updated Version of Forecast X Software: Developed by John Galt Solutions, Inc. for professional applications, FORECAST X has been updated with the new edition. This software adds a level of realism to the course and students appreciate having to learn software that is actually used in the business community.

Browse http://www.mhhe.com/aczel6e Statistical integrity with a complete Excel solution, this new edition of Complete Business Statistics offers revised sections on regression analysis and updated cases highlighting companies across the globe. CONTENTS

0. Working with Templates 1. Introduction and Descriptive Statistics 2. Probability 3 Random Variables 4. The Normal Distribution 5. Sampling and Sampling Distributions 6. Confidence Intervals 7. Hypothesis Testing 8. The Comparison of Two Populations 9 Analysis of Variance 10. Simple Linear Regression and Correlation 11. Multiple Regression and Correlation 12. Time Series, Forecasting, and Index Numbers 13. Quality Control and Improvement 14. Nonparametric Methods and Chi-Square Test 15. Bayesian Statistics and Decision Analysis Appendices A: References B: Answers to Most Odd-Numbered Problems C: Statistical Tables On the CD 16. Sampling Methods 17. Multivariate Analysis

COMPLIMENTARY COPIES

Complimentary desk copies are available for course adoption only. Kindly contact your local McGraw-Hill Representative or fax the Examination Copy Request Form available on the back pages of this catalog.

FEATURES

Real-World Data used: This text consists almost entirely of real-world examples, showing readers how to deal with real-life problems and difficulties in a realistic environment.

Visit McGraw-Hill Education Website: www.mheducation.com

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International Edition

BASIC STATISTICS FOR BUSINESS AND ECONOMICS Fifth Edition

International Edition

SCHAUM'S OUTLINE OF BUSINESS STATISTICS Fourth Edition

by Leonard J. Kazmier, Arizona State University 2004 / 432 pages ISBN-13: 978-0-07-141080-9 / MHID: 0-07-141080-5 ISBN-13: 978-0-07-123679-9 / MHID: 0-07-123679-1 [IE]

By Douglas A. Lind, Coastal Carolina University, William G. Marchal, University of Toledo-Toledo, and Samuel A. Wathen, Coastal Carolina University 2006 / 576 pages / Hardcover with CD-ROM ISBN-13: 978-0-07-312165-9 / MHID: 0-07-312165-7 ISBN-13: 978-0-07-124461-9 / MHID: 0-07-124461-1 [IE]

A Schaum Publication

(International Edition is not for sale in Japan) Conforming to the current business statistics curriculum, this fourth edition of Schaum's Outline of Business Statistics reflects recent changes in the course as well as in general practice, including new sections in each chapter on the application of Excel--the most used program in offices throughout the world--making this the first book to address this change in the curriculum. The fourth edition continues to provide a direct and effective tool for learning the fundamentals of business statistics without the technical verbiage.

Browse http://www.mhhe.com/lindbasics5e Lind/Marchal/Wathen: Basic Statistics for Business and Economics 5e is a derivative of the best-selling STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS, 12/e offering the essential topics of statistical tools and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, though the text maintains a focus on presenting statistics content as opposed to technology or programming methods, and the fifth edition continues as a `students' text with increased emphasis on interpretation of data and results. CONTENTS

1 What Is Statistics? 2 Describing Data: Frequency Distributions and Graphic Presentation. 3 Describing Data: Numerical Measures. 4 Describing Data: Displaying and Exploring Data. 5 A Survey of Probability Concepts. 6 Discrete Probability Distributions. 7 Continuous Probability Distributions. 8 Sampling Methods and the Central Limit Theorem. 9 Estimation and Confidence Intervals. 10 One-Sample Tests of Hypothesis. 11 Two-Sample Tests of Hypothesis. 12 Analysis of Variance. 13 Linear Regression and Correlation. 14 Multiple Regression and Correlation Analysis. 15 Chi-Square Applications Appendixes Answers to Odd-Numbered Chapter Exercises

International Edition

APPLIED LINEAR REGRESSION MODELS Fourth Edition

by Michael H Kutner, Emory University; Christopher J Nachtsheim, University of Minnesota and John Neter, University of Georgia 2004 / 672 pages ISBN-13: 978-0-07-301466-1 / MHID: 0-07-301466-4 (with Student CD) ISBN-13: 978-0-07-123252-4 / MHID: 0-07-123252-4 (IE)

http://www.mhhe.com/kutnerALRM4e Kutner, Nachtsheim, Neter, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. CONTENTS

Part1 Simple Linear Regression: 1 Linear Regression with One Predictor Variable. 2 Inferences in Regression and Correlation Analysis. 3 Diagnostics and Remedial Measures. 4 Simultaneous Inferences and Other Topics in Regression Analysis. 5 Matrix Approach to Simple Linear Regression Analysis. Part 2 Multiple Linear Regression: 6 Multiple Regression I. 7 Multiple Regression II. 8 Building the Regression Model I: Models for Quantitative and Qualitative Predictors. 9 Building the Regression Model II: Model Selection and Validation. 10 Building the Regression Model III: Diagnostics. 11 Remedial Measures and Alternative Regression Techniques. 12 Autocorrelation in Time Series Data. Part 3 Nonlinear Regression: 13 Introduction to Nonlinear Regression and Neural Networks. 14 Logistic Regression, Poisson Regression, and Generalized Linear Models

SCHAUM'S OUTLINE OF BEGINNING STATISTICS Second Edition

by Larry Stephens, University of Nebraska, Omaha 2006 (December 2005) / 416 pages ISBN-13: 978-0-07-145932-7 / MHID: 0-07-145932-4

A Schaum Publication

This study tool is ideal if you wish to master the basics for an introductory course or solo study. This new edition includes output from Excel, SAS, SPSS, STATISTIX, and MINITAB, all of which are now in general use for college courses on statistics at this level. It will also include up-to-date statistical examples taken from the latest media sources.

BASIC STATISTICS USING EXCEL FOR OFFICE XP Twelve Edition

by Douglas Lind, Coasta Carolina University, William Marchal, University of Toledo and Robert Mason 2005 ISBN-13: 978-0-07-286828-9 / MHID: 0-07-286828-7

By Merchant, Goffinet, and Koehler is a workbook that introduces students to Excel and shows how to apply it to introductory statistics. This manual presumes no prior familiarity with Excel or statistics and provides step-by-step directions in a how-to style using Excel XP and text examples and problems.

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Statistics & Probability

SCHAUM'S EASY OUTLINE OF BUSINESS STATISTICS

by Leonard J. Kazmier, Arizona State University 2003 / 160 pages ISBN-13: 978-0-07-139876-3 / MHID: 0-07-139876-7

INTRODUCTORY MATHEMATICS AND STATISTICS FOR BUSINESS Fourth Edition

by John Croucher, Macquarie University, NSW, Australia 2002 / 784 pages ISBN-13: 978-0-07-471042-5 / MHID: 0-07-471042-7

A Schaum Publication

CONTENTS

Chapter 1: Analyzing Business Data / Chapter 2: Statistical Presentations and Graphical Analysis / Chapter 3: Describing Business Data: Measures of Location / Chapter 4: Describing Business Data: Measures of Variability / Chapter 5: Probability / Chapter 6: Probability / Distributions for Discrete Random Variables / Chapter 7: Probability Distributions for Continuous Random Variables / Chapter 8: Sampling Distributions and Confidence Intervals for the Mean / Chapter 9: Other Confidence Intervals / Chapter 10: Testing Hypotheses Concerning the Value of the Population Mean / Chapter 11: Testing Other Hypotheses / Chapter 12: The Chi-Square Test / Chapter 13: Analysis of Variance / Chapter 14: Linear Regression and Correlation Analysis / Chapter 15: Multiple Regression and Correlation / Chapter 16: Time Series Analysis and Business Forecasting / Chapter 17: Index Numbers for Business and Economic Data / Chapter 18: Decision Analysis: Payoff Tables And Decision Trees / Chapter 19: Decision Analysis: The Use of the Sample Information / Chapter 20: Statistical Process Control / Chapter 21: Nonparametric Statistics / Appendices

McGraw-Hill Australia Title

CONTENTS

Preface. Guided tour. MATHEMATICS: Chapter 1 Basics Mathematics. Chapter 2 Percentages. Chapter 3 Algebra. Chapter 4 Ratios And Proportions. Chapter 5 Simple Interest. Chapter 6 Compound Interest. Chapter 7 Annuities. Chapter 8 Depreciation. Chapter 9 Graphing. APPENDIXES: A: A test of basic mathematics. B: Trial examination. TABLES: 1 Amount at compound interest tables. 2 Present value at compound interest tables. 3 Future value of an annuity tables. 4 Table of common logarithms. Summary Of Useful Mathematical Formulae. Solutions To Selected Exercises. STATISTICS: Chapter 1 Introduction To Statistics. Chapter 2 Visual Presentation Of Data. Chapter 3 Measures Of Central Tendency. Chapter 4 Measures Of Dispersion. Chapter 5 Sampling. Chapter 6 Elementary Probability. Chapter 7 The Normal Distribution. Chapter 8 Correlation. Chapter 9 Regression Analysis. Chapter 10 Index Numbers. Chapter 11 Time Series And Trend Analysis. Chapter 12 Hypothesis Testing. Chapter 13 Analysis Of Frequency Data. APPENDIXES: A: A note on summation notation. B: A note on calculators. C: A note on computer packages Minitab, SPSS, Microsoft Excel for Windows. D: Trial examinations. TABLES: 1 Areas under the standard normal curve. 2 Critical values for the t-distribution. 3 Critical values for the rank correlation coefficient. 4 Critical values for the chi-square distribution. A Summary Of Useful Statistical Formulae. Solutions To Selected Exercises. Glossary. Index

International Edition

PRACTICAL BUSINESS STATISTICS Fifth Edition

by Andrew F Siegel, University of Washington 2003 / 816 pages / hardcover ISBN-13: 978-0-07-282125-3 / MHID: 0-07-282125-6 (with Student CD) ISBN-13: 978-0-07-121338-7 / MHID: 0-07-121338-4 [IE with Student CD]

STATISTICS Making Business Decisions

http://www.mhhe.com/siegel5e CONTENTS

Part I: INTRODUCTION: DEFINING THE ROLE OF STATISTICS IN BUSINESS. 1 Introduction: Defining the Role of Statistics in Business. 2 Data Structures: Classifying the Various Types of Data Sets. 3 Histograms: Looking at the Distribution of Data. 4 Landmark Summaries: Interpreting Typical Values and Percentiles. 5 Variabilty: Dealing With Diversity. Part II: PROBABILITY. 6 Probability: Understanding Random Situations. 7 Random Variables: Working With Uncertain Numbers. PART III: STATISTICAL INFERENCE. 8 Random Sampling. 9 Confidence Intervals: Admitting That Estimates Are Not Exact. 10 Hypothesis Testing: Deciding Between Reality And Coincidence. PART IV: REGRESSION AND TIME SERIES. 11 Correaltion And Regression: Measuring And Predicting Relationships. 12 Multiple Regression: Predicting One Factor From Several Others. 13 Report Writing: Communicating The Results Of A Multiple Regression. 14 Time Series: Understanding Changes Over Time. PART V: METHODS AND APPLICATIONS. 15 Anova: Testing For Differences Among Many Samples, And Much More. 16 Nonparametrics: Testing With Ordinal Data Or Nonnormal Distributions. 17 Chi-Squared Analysis: Testing For Patterns In Qualitive Data. 18 Quality Control: Recognizing And Managing Variation. Appendix A: Employee Database. Appendix B: Donations Database. Appendix C: Self-Test: Solutions To Selected Problems And Database Exercises. Appendix D: Statistical Tables. Appendix E: Statpad Quick Reference Guide

by John Croucher, Macquarie University, NSW, Australia 2002 / 528 pages ISBN-13: 978-0-07-471041-8 / MHID: 0-07-471041-9

McGraw-Hill Australia Title

CONTENTS

Preface. Guided Tour. Chapter 1 Introduction to Statistics. Chapter 2 Visual Presentation of Data. Chapter 3 Measures of Central Tendency. Chapter 4 Measures of Dispersion. Chapter 5 Sampling. Chapter 6 Elementary Probability. Chapter 7 The Normal Distribution. Chapter 8 Correlation. Chapter 9 Regression Analysis. Chapter 10 Index Numbers. Chapter 11 Time Series And Trend Analysis. Chapter 12 Hypothesis Testing. Chapter 13 Analysis of Frequency Data. APPENDIXES: A: A note on summation notation. B: A note on calculators. C: A note on computer packages -- Minitab, SPSS®, Microsoft Excel for Windows. D: Trial examinations. TABLES: 1 Areas under the standard normal curve. 2 Critical values for the t-distribution. 3 Critical values for the rank correlation coefficient. 4 Critical values for the chi-square distribution. A Summary of Useful Statistical Formulae. Solutions to Selected Exercises. Glossary. Index

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Statistics & Probability

SCHAUM'S OUTLINE OF STATISTICS AND ECONOMETRICS Second Edition

Advanced Statistics

International Edition

APPLIED LINEAR STATISTICAL MODELS Fifth Edition

by Dominick Salvatore, Fordham University--Bronx and Derrick Reagle 2002 / 256 pages ISBN-13: 978-0-07-134852-2 / MHID: 0-07-134852-2

A Schaum Publication

CONTENTS

Introduction. / Descriptive Statistics. / Probability and Probability Distributions. / Statistics Inference: Estimation. / Statistical Inference: Testing Hypothesis. / Statistics Examination. / Simple Regression Analysis. / Multiple Regression Analysis. / Problems in Regression Analysis. / Further Techniques and Applications in Regression Analysis. / SimultaneousEquations Methods. / Time Series Econometrics. / Statistics Examination. / Bionomial Distribution. / Poisson Distribution. / Standard Normal Distribution. / Table of Random Numbers. / Student t Distribution. / Chi-Square Distribution. / F Distribution. / Durbin-Watson Statistics. / Critical Values of Runs in the Run Tests.

by Michael H Kutner, Emory University; Christopher J Nachtsheim, University of Minnesota; John Neter, University of Georgia and William Li, University of Minnesota 2005 / 1,200 pages ISBN-13: 978-0-07-310874-2 / MHID: 0-07-310874-X (with CD) ISBN-13: 978-0-07-112221-4 / MHID: 0-07-112221-4 [IE with CD]

Applied Linear Statistical Models is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and completeness. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and the use of automated software without loss of understanding. CONTENTS

Part 1 Simple Linear Regression: 1 Linear Regression with One Predictor Variable. 2 Inferences in Regression and Correlation Analysis. 3 Diagnostic and Remedial Measures. 4 Simultaneous Inferences and Other Topics in Regression Analysis. 5 Matrix Approach to Simple Linear Regression Analysis. Part 2 Multiple Linear Regression: 6 Multiple Regression I. 7 Multiple Regression II. 8 Regression Models for Quantitative and Qualitative Predictors. 9 Building the Regression Model I: Model Selection and Validation. 10 Building the Regression Model II: Diagnostics. 11 Building the Regression Model III: Remedial Measures. 12 Autocorrelation in Time Series Data. Part 3 Nonlinear Regression: 13 Introduction to Nonlinear Regression and Neural Networks. 14 Logistic Regression, Poisson Regression, and Generalized Linear Models. Part 4 Design and Analysis of Single-Factor Studies: 15 Introduction to the Design of Experimental and Observational Studies. 16 Single Factor Studies. 17 Analysis of Factor-Level Means. 18 ANOVA Diagnostics and Remedial Measures. Part 5 Multi-Factor Studies: 19 Two Factor Studies with Equal Sample Sizes. 20 Two Factor Studies-One Case per Treatment. 21 Randomized Complete Block Designs. 22 Analysis of Covariance. 23 Two Factor Studies with Unequal Sample Sizes. 24 MultiFactor Studies. 25 Random and Mixed Effects Models. Part 6 Specialized Study Designs: 26 Nested Designs, Subsampling, and Partially Nested Designs. 27 Repeated Measures and Related Designs. 28 Balanced Incomplete Block, Latin Square, and Related Designs. 29 Exploratory Experiments: Two-Level Factorial and Fractional Factorial Designs. 30 Response Surface Methodology. Appendix A: Some Basic Results in Probability and Statistics. Appendix B: Tables. Appendix C: Data Sets. Appendix D: Rules for Develping ANOVA Models and Tables for Balanced Designs. Appendix E: Selected Bibliography

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