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Introductory Statistics, 8/E
Neil A. WeissArizona State University

ISBN-10: 0321393619
ISBN-13:  9780321393616

Publisher:  Pearson
Copyright:  2008
Format:  Cloth Bound w/CD-ROM; 976 pp
Published:  01/04/2007
Status: Instock



Weiss’s Introductory Statistics, Eighth Edition, features a thorough presentation of the reasoning behind statistics, balanced with analysis and exploration of real data.  This text emphasizes the development of statistical thinking rather than rote drill and practice.

This new edition continues Weiss’s tradition of cutting-edge statistical pedagogy and seamless integration of technology, and includes hundreds of new exercises with carefully cited data from journals, magazines, newspapers, and Web sites.

Introductory Statistics
, Eighth Edition, contains a parallel presentation of the P-value and critical value approaches to hypothesis testing and promotes active learning and critical thinking, particularly in the exercises and end-of-chapter projects.  The scope and flexibility of this Weiss text make it suitable for a one- or two-semester course.

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

  • 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.

  • 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.

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

 

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

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.

 

MyStatLab Online Course for Introductory Statistics, 8/E
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Printed Test Bank for Introductory Statistics and Elementary Statistics, 8/E
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Graphing Calculator Tutorial for Statistics, 10/E
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Student's Solutions Manual for Introductory Statistics, 8/E
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TI-83/84 Plus Manual for Introductory Statistics and Elementary Statistics, 8/E
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For Introductory Statistics - Algebra-Based

Excel 2007 with DDXL Study Card for Statistics
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Minitab v. 15 Study Card for Statistics
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R Study Card for Statistics
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SPSS v. 17 Study Card for Statistics
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StatCrunch Study Card
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MyStatLab Online Course for Introductory Statistics, 8/E
Weiss
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Online purchase price: $72.00

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Weiss | ©2008 | Pearson | Cloth Bound w/CD-ROM; 976 pp
  • MyMathLab/MyStatLab Student Access Kit (for ad hoc valuepacks)
Addison-Wesley | ©2005 | Pearson | Paper Package
Pearson | ©2009 | Pearson | Paper
Lund | ©2008 | Pearson | Paper; 496 pp
Fischer | ©2008 | Pearson | Paper; 216 pp


Package ISBN-10: 0321642856 | ISBN-13: 9780321642851
©2008 | Instock
Suggested retail price: $171.33  Buy from myPearsonStore

This package contains:

Weiss | ©2008 | Pearson | Cloth Bound w/CD-ROM; 976 pp
Minitab & Inc. | ©2004 | Pearson | CD-ROM Only
Fesq | ©2008 | Pearson | Paper; 216 pp
  • MyMathLab/MyStatLab Student Access Kit (for ad hoc valuepacks)
Addison-Wesley | ©2005 | Pearson | Paper Package
Lund | ©2008 | Pearson | Paper; 496 pp


Package ISBN-10: 0321634764 | ISBN-13: 9780321634764
©2008 | Not Yet Published
Suggested retail price: $162.67  

This package contains:

Weiss | ©2008 | Pearson | Cloth Bound w/CD-ROM; 976 pp
Walters | ©2008 | Pearson | Paper
Minitab & Inc. | ©2008 | Pearson | CD-ROM Only
Fesq | ©2008 | Pearson | Paper; 216 pp
  • MyMathLab/MyStatLab Student Access Kit (for ad hoc valuepacks)
Addison-Wesley | ©2005 | Pearson | Paper Package


Package ISBN-10: 0321520653 | ISBN-13: 9780321520654
©2008 | Instock
Suggested retail price: $170.00  Buy from myPearsonStore

This package contains:

Weiss | ©2008 | Pearson | Cloth Bound w/CD-ROM; 976 pp
Minitab & Inc. | ©2008 | Pearson | CD-ROM Only
Fesq | ©2008 | Pearson | Paper; 216 pp
  • MyMathLab/MyStatLab Student Access Kit (for ad hoc valuepacks)
Addison-Wesley | ©2005 | Pearson | Paper Package
Lund | ©2008 | Pearson | Paper; 496 pp


Package ISBN-10: 032143787X | ISBN-13: 9780321437877
©2005 | Instock (Additional assembly time required)
Suggested retail price: $163.33  Buy from myPearsonStore

This package contains:

Weiss | ©2008 | Pearson | Cloth Bound w/CD-ROM; 976 pp
n/a | ©2000 | Pearson | Paper
  • Bundle Access Code AWHE Tutor Center
n/a | ©2006 | Pearson | Access Code Card
Minitab & Inc. | ©2008 | Pearson | CD-ROM Only
Fesq | ©2008 | Pearson | Paper; 216 pp
Lund | ©2008 | Pearson | Paper; 496 pp