Introductory Statistics, Global Edition

Series
Pearson
Author
Neil A. Weiss  
Publisher
Pearson
Cover
Softcover
Edition
10
Language
English
Total pages
864
Pub.-date
October 2016
ISBN13
9781292099729
ISBN
1292099720
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9781292099729
Introductory Statistics, Global Edition
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Description

Statistically Significant

Weiss’s Introductory Statistics, Tenth Edition, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. 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 over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding.

 

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

 

MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.


MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

Features

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.

  • Real-World Examples illustrate every concept discussed in the text with detailed, compelling examples from real life.
    • You Try It! exercisesfollow most worked examples, allowing students to immediately check their understanding by directing them to a similar exercise to solve on their own.
  • 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 websites.
  • Helpful text features help readers make sense of the material and provide easy reference for study and review.
    • 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 feature also summarizes relevant discussions.
    • Procedure Boxes have been enhanced to include the “why, when, and how” of the statistical 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).
    • Technology Appendixes help students use Minitab, Excel, and the TI 83/84 Plus graphing calculators. These appendixes, located on the new WeissStats Resource Site at www.pearsonhighered.com/weiss-stats, introduce the technology and methods for using it to work with data.
  • Parallel Critical-Value/p-Value Approaches 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 compare both approaches.
  • Parallel Presentations of Technology: The Weiss approach offers complete flexibility in the coverage of technology, which includes options for using 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! WeissStats Resource Site atwww.pearsonhighered.com/weiss-stats includes applets, optional text chapters that present more advanced regression and ANOVA topics, and an introduction to statistical technologies. Data sets are provided as text, Minitab, Excel, JMP®, and SPSS® files, as well as TI-83/84 Plus graphing calculator list files.
  • Focusing on Data Analysis sections at the end of each chapter examine the Focus Database, a database of 13 variables describing the undergraduate students at the University of Wisconsin—Eau Claire. This feature lets students work with large data sets, practice using technology, and discover the many methods of exploring and analyzing data–both descriptively and inferentially.

 

MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

 

Also available with MyStatLab® 

MyStatLab from Pearson is the world’s leading online resource for teaching and learning statistics; integrating interactive homework, assessment, and media in a flexible, easy-to-use format. MyStatLab is a course management system that delivers proven results in helping individual students succeed.

  • MyStatLab can be implemented successfully in any environment—lab-based, hybrid, fully online, traditional—and demonstrates the quantifiable difference that integrated usage has on student retention, subsequent success, and overall achievement.
  • MyStatLab’s comprehensive online gradebook automatically tracks students’ results on tests, quizzes, homework, and in the study plan. Instructors can use the gradebook to provide positive feedback or intervene if students have trouble. Gradebook data can be easily exported to a variety of spreadsheet programs, such as Microsoft Excel.

MyStatLab provides engaging experiences that personalize, stimulate, and measure learning for each student. In addition to the resources below, each course includes a full interactive online version of the accompanying textbook.

  • Tutorial Exercises with Multimedia Learning Aids: The homework and practice exercises in MyStatLab align with the exercises in the textbook, and most regenerate algorithmically to give students unlimited opportunity for practice and mastery. Exercises offer immediate helpful feedback, guided solutions, sample problems, animations, videos, statistical software tutorial videos and eText clips for extra help at point-of-use.
  • Accessibility: MyStatLab is compatible with the JAWS screen reader, and enables multiple-choice and free-response problem-types to be read, and interacted with via keyboard controls and math notation input. MyStatLab also works with screen enlargers, including ZoomText, MAGic, and SuperNova. And all MyStatLab videos accompanying texts with copyright 2009 and later have closed captioning.  More information on this functionality is available at http://mymathlab.com/accessibility.
  • StatTalk Videos: Fun-loving statistician Andrew Vickers takes to the streets of Brooklyn, NY, to demonstrate important statistical concepts through interesting stories and real-life events. This series of 24 fun and engaging videos help students actually understand statistical concepts.  Available with an instructor’s user guide and assessment questions.
  • Additional Question Libraries: In addition to algorithmically regenerated questions that are aligned with your textbook, MyStatLab courses come with two additional question libraries:
    • 450 exercises in Getting Ready for Statistics cover the developmental math topics students need for the course. These can be assigned as a prerequisite to other assignments, if desired.
    • 1000 exercises in the Conceptual Question Library require students to apply their statistical understanding.
  • StatCrunch: MyStatLab integrates the web-based statistical software, StatCrunch, within the online assessment platform so that students can easily analyze data sets from exercises and the text. In addition, MyStatLab includes access to www.StatCrunch.com, a vibrant online community where users can access tens of thousands of shared data sets, create and conduct online surveys, perform complex analyses using the powerful statistical software, and generate compelling reports.
  • Statistical Software, Support and Integration: We make it easy to copy our data sets, both from the eText and the MyStatLab questions, into software such as StatCrunch, Minitab, Excel, and more. Students have access to a variety of support tools—Technology Tutorial Videos, Technology Study Cards, and Technology Manuals for select titles—to learn how to effectively use statistical software.

And, MyStatLab comes from an experienced partner with educational expertise and an eye on the future.

  • Knowing that you are using a Pearson product means knowing that you are using quality content. That means that our eTexts are accurate and our assessment tools work. It means we are committed to making MyMathLab as accessible as possible.
  • Whether you are just getting started with MyStatLab, or have a question along the way, we’re here to help you learn about our technologies and how to incorporate them into your course.  

To learn more about how MyStatLab combines proven learning applications with powerful assessment, visit www.mystatlab.com or contact your Pearson representative.

New to this Edition

New and updated features

  • 50% of the chapter-opening case studies are new for this edition.
  • More than 35% of exercises are new, updated, or modified. This edition contains more than 3,000 high-quality exercises, which far exceeds what is found in typical introductory statistics books.
  • Expanded! Warm-up Exercises: In this edition, hundreds of “warm-up” exercises have been added. These exercises provide context-free problems that allow students to concentrate solely on the relevant concepts before moving on to applied exercises.
  • The WeissStats Resource Site provides an extensive array of resources for both instructors and students, including additional topics, applets, all data sets from the book in multiple formats, a procedures booklet, and technology appendixes. In addition to several new items, the site offers universal access to those items formerly included on the WeissStats CD. Refer to the table of contents for a brief list of the contents of the WeissStats site or visit the site at www.pearsonhighered.com/weiss-stats. Note: Instructor-only resources are available on the Instructor Resource Center at www.pearsonhighered.com/irc.
  • Updated! The Technology Center: includes step-by-step instructions for implementing each of three of the most popular applications—Minitab, Excel, and the TI- 83/84 Plus graphing calculators. This content is optional material, but reflects the latest software releases.
  • Updated! Technology Appendixes: the appendixes for Excel, Minitab, and the TI-83/84 Plus have been updated to correspond to the latest versions of these three statistical technologies.
  • Expanded! Built-in Technology Manuals guide students in using three of the most popular applications: Minitab, Excel, and the TI-83/84 Plus.
  • Expanded! TI Programs created by the author allow users of the popular TI-83/84 Plus to perform statistical analysis with their calculators. Those programs are downloadable from the TI Programs section of the WeissStats Resource Site.

Content Updates

  • Chebyshev’s Rule and the Empirical Rule: A new (optional) section of Chapter 3 has been added to examine Chebyshev’s rule and the empirical rule. The empirical rule is further examined in Chapter 6 when the normal distribution is discussed.
  • Quartiles: The method for calculating quartiles has been modified to make it more easily accessible to students. Furthermore, a dedicated procedure that provides a step-by-step method for finding the quartiles of a data set has been included.
  • Distribution Shapes: The material on distribution shapes in Section 2.4 has been significantly modified and clarified. Students will find this revised approach easier to understand and apply.
  • Regression Analysis: Major improvements have been made to the chapter on Descriptive Methods in Regression and Correlation. These improvements include a comprehensive discussion of scatterplots, a simpler introduction to the least-squares criterion, and easier introductory examples for the regression equation, the sums of squares and coefficient of determination, and the linear correlation coefficient.
  • Expanded! Density Curves: The discussion of density curves has been significantly expanded and now includes several examples and many more exercises.
  • Expanded! Type II Error Probabilities and Power: Section 9.7, which covers Type II error probabilities and power, has undergone major revision, including increased visuals and the addition of procedures for calculating Type II error probabilities and for constructing power curves.

 

MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

 

Table of Contents

PART I: Introduction

 

1. The Nature of Statistics

   Case Study: Top Films of All Time

1.1 Statistics Basics

1.2 Simple Random Sampling

1.3 Other Sampling Designs∗

1.4 Experimental Designs∗

   Chapter in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

PART II: Descriptive Statistics

 

2. Organizing Data

   Case Study: World’s Richest People

2.1 Variables and Data

2.2 Organizing Qualitative Data

2.3 Organizing Quantitative Data

2.4 Distribution Shapes

2.5 Misleading Graphs∗

   Chapter in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

3. Descriptive Measures

   Case Study: The Beatles’ Song Length

3.1 Measures of Center

3.2 Measures of Variation

3.3 Chebyshev’s Rule and the Empirical Rule∗

3.4 The Five-Number Summary; Boxplots

3.5 Descriptive Measures for Populations; Use of Samples

   Chapter in Review

   Review Problems

   Focusing on Data

   Analysis

   Case Study Discussion

   Biography

 

PART III: Probability, Random Variables, and Sampling Distributions

 

4. Probability Concepts

   Case Study: Texas Hold’em

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 in Review 218

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

5. Discrete Random Variables

   Case Study: Aces Wild on the Sixth at Oak Hill

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 in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

6. The Normal Distribution

   Case Study: Chest Sizes of Scottish Militiamen

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 in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

7. The Sampling Distribution of the Sample Mean

   Case Study: The Chesapeake and Ohio Freight Study

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

   Chapter in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

PART IV: Inferential Statistics

 

8. Confidence Intervals for One Population Mean

   Case Study: Bank Robberies: A Statistical Analysis

8.1 Estimating a Population Mean

8.2 Confidence Intervals for One Population Mean When σ Is Known

8.3 Confidence Intervals for One Population Mean When σ Is Unknown

   Chapter in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

9. Hypothesis Tests for One Population Mean

   Case Study: Gender and Sense of Direction

9.1 The Nature of Hypothesis Testing

9.2 Critical-Value Approach to Hypothesis Testing

9.3 P-Value Approach to Hypothesis Testing

9.4 Hypothesis Tests for One Population Mean When σ Is Known

9.5 Hypothesis Tests for One Population Mean When σ Is Unknown

9.6 The Wilcoxon Signed-Rank Test∗

9.7 Type II Error Probabilities; Power∗

9.8 Which Procedure Should Be Used?∗∗

   Chapter in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

10. Inferences for Two Population Means

   Case Study: Dexamethasone Therapy and IQ

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 in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

11. Inferences for Population Standard Deviations

   Case Study: Speaker Woofer Driver Manufacturing

11.1 Inferences for One Population Standard Deviation∗

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

   Chapter in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

12. Inferences for Population Proportions

   Case Study: Arrested Youths

12.1 Confidence Intervals for One Population Proportion

12.2 Hypothesis Tests for One Population Proportion

12.3 Inferences for Two Population Proportions

   Chapter in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

13. Chi-Square Procedures

   Case Study: Eye and Hair Color

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

13.5 Chi-Square Homogeneity Test

   Chapter in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

PART V: Regression, Correlation, and ANOVA

 

14. Descriptive Methods in Regression and Correlation

   Case Study: Healthcare: Spending and Outcomes

14.1 Linear Equations with One Independent Variable

14.2 The Regression Equation

14.3 The Coefficient of Determination

14.4 Linear Correlation

   Chapter in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

15. Inferential Methods in Regression and Correlation

   Case Study: Shoe Size and Height

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 in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

16. Analysis of Variance (ANOVA)

   Case Study: Self-Perception and Physical Activity

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∗

   Chapter in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Biography

 

PART VI: Multiple Regression and Model Building; Experimental Design and ANOVA∗∗

 

MODULE A: Multiple Regression Analysis

   Case Study: Automobile Insurance Rates

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 in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Answers to Selected Exercises

   Index

 

MODULE B: Model Building in Regression

   Case Study: Automobile Insurance Rates–Revisited

B.1 Transformations to Remedy Model Violations

B.2 Polynomial Regression Model

B.3 Qualitative Predictor

B.4 Multicollinearity

B.5 Model Selection: Stepwise Regression

B.6 Model Selection: All-Subsets Regression

B.7 Pitfalls and Warnings

Module in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

   Answers to Selected Exercises

   Index

 

MODULE C: Design of Experiments and Analysis of Variance

   Case Study: Dental Hygiene: Which Toothbrush?

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

   Module in Review

   Review Problems

   Focusing on Data Analysis

   Case Study Discussion

 

Answers to Selected Exercises

Index

Appendix A: Statistical Tables

Appendix B: Answers to Selected Exercises

Index

Photo Credits

 

∗Indicates optional material.

∗∗Indicates optional material on the WeissStats site.