Description

Features

• Real-World Examples illustrate every concept discussed in the text with detailed, compelling examples from real life.  
• Real Data Sources help students see the integration of statistics in everyday life. Neil Weiss has included carefully cited data from reputable journals, newspapers, magazines and Web sites.

• Interpretation Boxes explain the meaning and significance of statistical results in everyday life and highlight the importance of interpreting answers and results.
• What Does It Mean? boxes explain in plain English the meaning of definitions, formulas, and key facts. This features also summarizes relevant discussions.
• Procedure Boxes have been enhanced to include the “why, when, and how” of the methods. Each procedure box has a brief identifying title followed by a statement of its purpose (why it’s used), the assumptions for its use (when it’s used), and the steps for applying the procedure (how it’s used).
• Parallel Critical-Value/P-Value Approaches: Through a parallel presentation, this text offers complete flexibility in the coverage of critical-value and P-value approaches to hypothesis testing.  Instructors can focus on one approach or they can cover and compare both approaches.
• Parallel Presentations of Technology: The Weiss approach offers complete flexibility in the coverage of technology which includes options for the use of MINITAB^®, Excel^®, and the TI-83 and TI-84 Plus graphing calculators. One or more technologies can be explored and compared. Instructions and output for each package are included in Technology Centers throughout the book.

New To This Edition

• Streamlined Presentation: The new editions have been rewritten to reveal the superior, clear instruction for which Weiss is well known.  This streamlined presentation seamlessly blends solid statistics (and the mathematics behind it) with a clear and effective teaching style. Students find these books readable and clear, and instructors appreciate that the math level is right for a diverse population of students.
• Hundreds of new and updated Exercises have been added to each section and reorganized into the following categories:
  • Understanding Concepts and Skills
  • Working with Large Data Sets
  • Extending the Concepts and Skills

• The new You Try It! feature, which follows most worked examples,allows students to immediately check their understanding by directing them to a similar exercise for them to solve on their own.
• Expanded Focusing on Data Analysis sections at the end of each chapter now include a Focus Sample file that contains data on the same 13 variables for a simple random sample of 200 undergraduate students at the University of Wisconsin — Eau Claire. These 200 students constitute a sample that can be used for making numerous statistical references.
• New Case Studies: More than one-third of the chapter opener case studies are new.
• New Technology Appendixes by the author help students use Minitab, Excel, and the TI 83/84 Plus graphing calculators.  These appendixes, located on the CD-ROM packaged with new copies of the book, introduce the technology and methods for using it to work with data.
• The WeissStats CD-ROM included in every new copy of the textbook includes data sets in multiple formats; Data Desk/XL (DDXL) software, an Excel add-in; and optional text chapters that cover multiple regression analysis, model building in regression, and design of experiments and two-way analysis of variance.
• MyStatLab provides instructors with a rich and flexible set of course materials, along with course-management tools that make it easy to deliver all or a portion of your course online. MyStatLab provides students with a personalized interactive learning environment, where they can learn at their own pace and measure their progress. www.mystatlab.com
• StatCrunch is a powerful online tool that provides an interactive environment for doing statistics. Students can use StatCrunch for both numerical and graphical data analysis, taking advantage of interactive graphics to help them see the connection between objects selected in a graph and the underlying data. StatCrunch is available within the MyStatLab course.

Table of Contents

Preface   

Supplements List   

Data Sources    

Part I: Introduction

Chapter 1 The Nature of Statistics

1.1 Statistics Basics

1.2 Simple Random Sampling

1.3 Other Sampling Designs*

1.4 Experimental Designs*

Part II: Descriptive Statistics

Chapter 2 Organizing Data

2.1 Variables and Data

2.2 Grouping Data 

2.3 Graphs and Charts

2.4 Distribution Shapes

2.5 Misleading Graphs

Chapter 3 Descriptive Measures

3.1 Measures of Center

3.2 Measures of Variation 

3.3 The Five-Number Summary; Boxplots

3.4 Descriptive Measures for Populations; Use of Samples

Part III: Probability, Random Variables, and Sampling Distributions

Chapter 4 Probability Concepts

4.1 Probability Basics

4.2 Events

4.3 Some Rules of Probability

4.4 Contingency Tables; Joint and Marginal Probabilities*

4.5 Conditional Probability*

4.6 The Multiplication Rule; Independence*

4.7 Bayes’s Rule* 

4.8 Counting Rules*

Chapter 5 Discrete Random Variables*

5.1 Discrete Random Variables and Probability Distributions*

5.2 The Mean and Standard Deviation of a Discrete Random Variable*

5.3 The Binomial Distribution*

5.4 The Poisson Distribution*

Chapter 6 The Normal Distribution

6.1 Introducing Normally Distributed Variables

6.2 Areas Under the Standard Normal Curve

6.3 Working with Normally Distributed Variables

6.4 Assessing Normality; Normal Probability Plots

6.5 Normal Approximation to the Binomial Distribution*

Chapter 7 The Sampling Distribution of the Sample Mean

7.1 Sampling Error; the Need for Sampling Distributions

7.2 The Mean and Standard Deviation of the Sample Mean

7.3 The Sampling Distribution of the Sample Mean

Part IV: Inferential Statistics

 Chapter 8 Confidence Intervals for One Population Mean

8.1 Estimating a Population Mean

8.2 Confidence Intervals for One Population Mean When σ is Known

8.3 Margin of Error

8.4 Confidence Intervals for One Population Mean When σ is Unknown

Chapter 9 Hypothesis Tests for One Population Mean

9.1 The Nature of Hypothesis Testing

9.2 Terms, Errors, and Hypotheses

9.3 Hypothesis Tests for One Population Mean When σ is Known

9.4 Type II Error Probabilities; Power*

9.5 P-Values

9.6 Hypothesis Tests for One Population Mean When σ is Unknown

9.7 The Wilcoxon Signed-Rank Test*

9.8 Which Procedure Should Be Used?*

Chapter 10 Inferences for Two Population Means

10.1 The Sampling Distribution of the Difference Between Two Sample Means for Independent Samples

10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal

10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal

10.4 The Mann—Whitney Test*

10.5 Inferences for Two Population Means, Using Paired Samples

10.6 The Paired Wilcoxon Signed-Rank Test*

10.7 Which Procedure Should Be Used?*

Chapter 11 Inferences for Population Standard Deviations*

11.1 Inferences for One Population Standard Deviation*

11.2 Inferences for Two Population Standard Deviations, Using Independent Samples*

Chapter 12 Inferences for Population Proportions

12.1 Confidence Intervals for One Population Proportion

12.2 Hypothesis Tests for One Population Proportion

12.3 Inferences for Two Population Proportions

 Chapter 13 Chi-Square Procedures

13.1 The Chi-Square Distribution

13.2 Chi-Square Goodness-of-Fit Test

13.3 Contingency Tables; Association

13.4 Chi-Square Independence Test

Part V: Regression, Correlation, and ANOVA

 Chapter 14 Descriptive Methods in Regression and Correlation

14.1 Linear Equations With One Independent Variable

14.2 The Regression Equation

14.3 The Coefficient of Determination

14.4 Linear Correlation

Chapter 15 Inferential Methods in Regression and Correlation

15.1 The Regression Model; Analysis of Residuals

15.2 Inferences for the Slope of the Population Regression Line

15.3 Estimation and Prediction

15.4 Inferences in Correlation

15.5 Testing for Normality*

Chapter 16 Analysis of Variance (ANOVA)

16.1 The F-Distribution

16.2 One-Way ANOVA: The Logic

16.3 One-Way ANOVA: The Procedure

16.4 Multiple Comparisons*

16.5 The Kruskal—Wallis Test*

Part VI: Multiple Regression and Model Building; Experimental Design and ANOVA (On The WeissStats CD-ROM)

Module A Multiple Regression Analysis

A.1 The Multiple Linear Regression Model

A.2 Estimation of the Regression Parameters

A.3 Inferences Concerning the Utility of the Regression Model

A.4 Inferences Concerning the Utility of Particular Predictor Variables

A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response

A.6 Checking Model Assumptions and Residual Analysis

Module B Model Building in Regression 

B.1 Transformations to Remedy Model Violations

B.2 Polynomial Regression Model

B.3 Qualitative Predictor Variables

B.4 Multicollinearity

B.5 Model Selection: Stepwise Regression

B.6 Model Selection: All Subsets Regression

B.7 Pitfalls and Warnings

Module C Design of Experiments and Analysis of Variance

C.1 Factorial Designs

C.2 Two-Way ANOVA: The Logic

C.3 Two-Way ANOVA: The Procedure

C.4 Two-Way ANOVA: Multiple Comparisons

C.5 Randomized Block Designs

C.6 Randomized Block ANOVA: The Logic

C.7 Randomized Block ANOVA: The Procedure 

C.8 Randomized Block ANOVA: Multiple Comparisons

C.9 Friedman’s Nonparametric Test for the Randomized Block Design*

APPENDIXES

Appendix A: Statistical Tables

I. Random numbers

II. Areas under the standard normal curve

III. Normal scores

IV. Values of tα

V. Values of Wα

VI. Values of Mα

VII. Values of χα2  

VIII. Values of Fα 

IX. Critical values for a correlation test for normality

X. Values of q0.01

XI. Values of q0.05

XII. Binomial probabilities 

Appendix B Answers to Selected Exercises

Index

Photo Credits

Indexes for Biographical Sketches & Case Studies

*indicates an optional section

Courses

Introductory Statistics - Algebra-Based  (Statistics)

Previous Edition(s)

• Introductory Statistics, 7/E
  Weiss
  ©2005  |  Pearson  |  Cloth; 960 pp  |  Out of Print
  ISBN-10: 0201771314  |  ISBN-13: 9780201771312
    Brief Description  | 

  

  Introductory Statistics is the longer of the two texts (Elementary Statistics is the shorter one) and is appropriate for a one- or two-semester course. IS includes more detailed (but still flexible) coverage of probability and later coverage of Correlation and Regression. It also covers more advanced topics covered in the second semester course.

  IS has a reputation for being thorough and precise, and for using real data extensively. Students find the book readable and clear, and the math level is right for the diverse population that takes the introductory statistics course. The text thoroughly explains and illustrates concepts through an abundance of worked out examples.

  More Info
  

Next Edition(s)

• Introductory Statistics, 9/E
  Weiss
  ©2012  |  Pearson  |  Cloth Bound w/CD-ROM; 896 pp  |  Instock
  ISBN-10: 0321691229  |  ISBN-13: 9780321691224
  Suggested retail price: $160.00  Buy from myPearsonStoreNet price: $120.00  (What's this?)Brief Description  | 

  

  Weiss’s Introductory Statistics, Ninth Edition is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. The text is suitable for a one- or two-semester course. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and more than 2,600 exercises, most using real data, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical literacy.

   

  Introductory Statistics, Ninth Edition, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.

   

  This edition continues the book’s tradition of being on the cutting edge of statistical pedagogy, technology, and data analysis. It includes hundreds of new and updated exercises with real data from journals, magazines, newspapers, and websites.

   

  Datasets and other resources (where applicable) for this book are available here.

  More Info
  

Introductory Statistics

ActivStats

Author Bios

Neil A. Weiss received his Ph.D. from UCLA in 1970 and subsequently accepted an assistant-professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss has taught statistics, probability, and mathematics–from the freshman level to the advanced graduate level–for more than 30 years. In recognition of his excellence in teaching, he received the Dean’s Quality Teaching Award from the ASU College of Liberal Arts and Sciences. Dr. Weiss’ comprehensive knowledge and experience ensures that his texts are mathematically and statistically accurate, as well as pedagogically sound.

In addition to his numerous research publications, Dr. Weiss is the author of A Course in Probability (Addison-Wesley, 2006). He has also authored or coauthored books in finite mathematics, statistics, and real analysis, and is currently working on a new book on applied regression analysis and the analysis of variance. His texts–well known for their precision, readability, and pedagogical excellence–are used worldwide.

Dr. Weiss is a pioneer of the integration of statistical software into textbooks and the classroom, first providing such integration over 20 years ago in the book Introductory Statistics (Addison-Wesley, 1982). Weiss and Addison-Wesley continue that pioneering spirit to this day with the inclusion of some of the most comprehensive Web sites in the field.

In his spare time, Dr. Weiss enjoys walking, studying and practicing meditation, and playing hold ’em poker. He is married and has two sons.

Companion Website for Introductory Statistics, 8/E
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MyMathLabPlus for Introductory Statistics, 8/E
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MyStatLab with eBook -- Instant Access -- for Introductory Statistics, 8/E
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ISBN-10: 0321434153  |  ISBN-13: 9780321434159
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Instructor's Solutions Manual for Introductory Statistics, 8/E
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Powerpoint Lecture Slides CD for Introductory Statistics, 8/E
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TestGen® Computerized Test Bank for Introductory Statistics, 8/E
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Companion Website for Introductory Statistics, 8/E
Weiss
©2008  |  Pearson  |  Website  |  Live
ISBN-10: 0321417267  |  ISBN-13: 9780321417268
This online resource is available at no cost at www.aw-bc.com/weiss.
More Info

MathXL -- Instant Access -- for Statistics for Introductory Statistics, 8/E
Weiss
©2008  |  Pearson  |  On-line Supplement  |  Live
ISBN-10: 0321434145  |  ISBN-13: 9780321434142
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MyMathLabPlus for Introductory Statistics, 8/E
Weiss
©2011  |  Pearson  |  Website  |  Live
ISBN-10: 0558840256  |  ISBN-13: 9780558840259
Online purchase price: $92.00More Info

MyStatLab with eBook -- Instant Access -- for Introductory Statistics, 8/E
Weiss
©2008  |  On-line Supplement; 984 pp  |  Access Code Required  |  Live
ISBN-10: 0321434153  |  ISBN-13: 9780321434159
Online purchase price: $82.00  |  Students, buy access Take a Tour  |  More Info

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Companion Website for Introductory Statistics, 8/E
Weiss
©2008  |  Pearson  |  Website  |  Live
ISBN-10: 0321417267  |  ISBN-13: 9780321417268
This online resource is available at no cost at www.aw-bc.com/weiss.
More Info

MyMathLabPlus for Introductory Statistics, 8/E
Weiss
©2011  |  Pearson  |  Website  |  Live
ISBN-10: 0558840256  |  ISBN-13: 9780558840259
Online purchase price: $92.00More Info

MyStatLab with eBook -- Instant Access -- for Introductory Statistics, 8/E
Weiss
©2008  |  On-line Supplement; 984 pp  |  Access Code Required  |  Live
ISBN-10: 0321434153  |  ISBN-13: 9780321434159
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Graphing Calculator Tutorial for Statistics, 10/E
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Excel 2007 with DDXL Study Card for Statistics
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Excel 2010 with XLStat Study Card
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Graphing Calculator Study Card for Statistics
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IBM® SPSS® Statistics Student Version Study Card for Statistics
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JMP® Study Card for Statistics
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Minitab® Study Card for Statistics
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ISBN-10: 0321592824  |  ISBN-13: 9780321592828
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R Study Card for Statistics
Reimherr
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ISBN-10: 0321592832  |  ISBN-13: 9780321592835
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StatCrunch Study Card
West
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ISBN-10: 0321628926  |  ISBN-13: 9780321628923
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XLStat for Pearson Education Access Code Card
Addinsoft
©2011  |  Pearson  |  Access Code Card  |  Instock
ISBN-10: 032175932X  |  ISBN-13: 9780321759320
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Companion Website for Introductory Statistics, 8/E
Weiss
©2008  |  Pearson  |  Website  |  Live
ISBN-10: 0321417267  |  ISBN-13: 9780321417268
This online resource is available at no cost at www.aw-bc.com/weiss.
More Info

MyMathLabPlus for Introductory Statistics, 8/E
Weiss
©2011  |  Pearson  |  Website  |  Live
ISBN-10: 0558840256  |  ISBN-13: 9780558840259
Online purchase price: $92.00More Info

MyStatLab with eBook -- Instant Access -- for Introductory Statistics, 8/E
Weiss
©2008  |  On-line Supplement; 984 pp  |  Access Code Required  |  Live
ISBN-10: 0321434153  |  ISBN-13: 9780321434159
Online purchase price: $82.00  |  Students, buy access Take a Tour  |  More Info

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