Textbook
Introductory Statistics, 8th EditionNovember 2012, ©2013

Description
Introductory Statistics is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach.
Table of Contents
1.1 Statistics and Types of Statistics 2
Case Study 1–1 How Much Did Companies Spend on Ads in 2011? 3
Case Study 1–2 How Women Rate Their Lives 4
1.2 Population Versus Sample 5
Case Study 1–3 Are We Becoming Less "Green?" 7
1.3 Basic Terms 8
1.4 Types of Variables 10
1.5 CrossSection Versus TimeSeries Data 12
1.6 Sources of Data 14
1.7 Summation Notation 15
Uses and Misuses / Glossary / Supplementary Exercises / SelfReview Test / MiniProject/ Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 2 Organizing and Graphing Data 28
2.1 Organizing and Graphing Qualitative Data 29
Case Study 2–1 Will Today's Children Be Better Off Than Their Parents? 32
Case Study 2–2 Employees' Overall Financial Stress Levels 33
2.2 Organizing and Graphing Quantitative Data 36
Case Study 2–3 How Long Does Your Typical OneWay Commute Take? 42
Case Study 2–4 How Much Does It Cost to Insure a Car? 43
Case Study 2–5 How Many Cups of Coffee Do You Drink a Day? 46
2.3 Cumulative Frequency Distributions 54
2.4 StemandLeaf Displays 57
2.5 Dotplots 62
Uses and Misuses / Glossary /Supplementary Exercises / Advanced Exercises / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 3 Numerical Descriptive Measures 85
3.1 Measures of Central Tendency for Ungrouped Data 86
Case Study 3–1 Average NFL Ticket Prices in the Secondary Market 89
Case Study 3–2 Average Is Over 90
Case Study 3–3 Education Pays 92
3.2 Measures of Dispersion for Ungrouped Data 99
3.3 Mean, Variance, and Standard Deviation for Grouped Data 106
3.4 Use of Standard Deviation 113
Case Study 3–4 Does Spread Mean the Same as Variability and Dispersion? 116
3.5 Measures of Position 118
3.6 BoxandWhisker Plot 123
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Appendix 3.1 /
SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 4 Probability 146
4.1 Experiment, Outcome, and Sample Space 147
4.2 Calculating Probability 152
4.3 Marginal Probability, Conditional Probability, and Related Probability Concepts 158
Case Study 4–1 Do You Worry About Your Weight? 162
4.4 Intersection of Events and the Multiplication Rule 170
4.5 Union of Events and the Addition Rule 179
4.6 Counting Rule, Factorials, Combinations, and Permutations 187
Case Study 4–2 Probability of Winning a Mega Millions Lottery Jackpot 192
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 5 Discrete Random Variables and Their Probability Distributions 209
5.1 Random Variables 210
5.2 Probability Distribution of a Discrete Random Variable 212
5.3 Mean and Standard Deviation of a Discrete Random Variable 219
Case Study 5–1 $1,000 Downpour 221
5.4 The Binomial Probability Distribution 226
5.5 The Hypergeometric Probability Distribution 239
5.6 The Poisson Probability Distribution 242
Case Study 5–2 Global Birth and Death Rates 246
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 6 Continuous Random Variables and the Normal Distribution 264
6.1 Continuous Probability Distribution and the Normal Probability Distribution 265
Case Study 6–1 Distribution of Time Taken to Run a Road Race 269
6.2 Standardizing a Normal Distribution 281
6.3 Applications of the Normal Distribution 287
6.4 Determining the z and x Values When an Area Under the Normal Distribution Curve Is Known 292
6.5 The Normal Approximation to the Binomial Distribution 297
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Appendix 6.1 / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 7 Sampling Distributions 320
7.1 Sampling Distribution, Sampling Error, and Nonsampling Errors 321
7.2 Mean and Standard Deviation of x– 326
7.3 Shape of the Sampling Distribution of x– 330
7.4 Applications of the Sampling Distribution of x– 336
7.5 Population and Sample Proportions; and Mean, Standard Deviation, and Shape of the Sampling Distribution of p 341
7.6 Applications of the Sampling Distribution of ˆp 348
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 8 Estimation of the Mean and Proportion 360
8.1 Estimation, Point Estimate, and Interval Estimate 361
8.2 Estimation of a Population Mean: Known 364
Case Study 8–1 How Much Did Registered Nurses Earn in 2011? 370
8.3 Estimation of a Population Mean: Not Known 374
8.4 Estimation of a Population Proportion: Large Samples 383
Case Study 8–2 Do You Bring Your Lunch From Home? 386
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 9 Hypothesis Tests About the Mean and Proportion 404
9.1 Hypothesis Tests: An Introduction 405
9.2 Hypothesis Tests About : Known 413
Case Study 9–1 Average Student Debt for the Class of 2010 422
9.3 Hypothesis Tests About : Not Known 427
9.4 Hypothesis Tests About a Population Proportion: Large Samples 437
Case Study 9–2 Is Raising Taxes on the Rich Fair? 443
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 10 Estimation and Hypothesis Testing: Two Populations 462
10.1 Inferences About the Difference Between Two Population Means for Independent Samples: 1 and 2 Known 463
10.2 Inferences About the Difference Between Two Population Means for Independent Samples: 1 and 2 Unknown but Equal 470
Case Study 10–1 OneWay Commute Times For Six Cities 476
10.3 Inferences About the Difference Between Two Population Means for Independent Samples: 1 and 2 Unknown and Unequal 480
10.4 Inferences About the Difference Between Two Population Means for Paired Samples 487
10.5 Inferences About the Difference Between Two Population Proportions for Large and Independent Samples 496
Case Study 10–2 Do You Worry About Your Weight? 501
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 11 ChiSquare Tests 521
11.1 The ChiSquare Distribution 522
11.2 A GoodnessofFit Test 525
Case Study 11–1 Are People on Wall Street Honest and Moral? 530
11.3 A Test of Independence or Homogeneity 534
11.4 Inferences About the Population Variance 546
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 12 Analysis of Variance 566
12.1 The F Distribution 567
12.2 OneWay Analysis of Variance 569
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 13 Simple Linear Regression 591
13.1 Simple Linear Regression 592
Case Study 13–1 Regression of Weights on Heights for NFL Players 601
13.2 Standard Deviation of Errors and Coefficient of Determination 608
13.3 Inferences About B 614
13.4 Linear Correlation 620
13.5 Regression Analysis: A Complete Example 626
13.6 Using the Regression Model 633
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / SelfReview Test / MiniProjects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 14 Multiple Regression 651
This chapter is not included in this text but is available for download from WileyPLUS or from www.wiley.com/college/mann.
CHAPTER 15 Nonparametric Methods 652
This chapter is not included in this text but is available for download from WileyPLUS or from www.wiley.com/college/mann.
APPENDIX A Sample Surveys, Sampling Techniques, And Design Of Experiments A1
A.1 Sources of Data A1
A.2 Sample Surveys and Sampling Techniques A3
A.3 Design of Experiments A9
Advanced Exercises/Glossary
APPENDIX B Explanation Of Data Sets B1
Data Set I: City Data B1
Data Set II: Data on States B3
Data Set III: NFL Data B3
Data Set IV: Beach to Beacon 10k Road Race Data B3
Data Set V: Sample of 500 Observations Selected From Beach to Beacon 10k Road Race Data B4
Data Set VI: Data on Movies B4
Data Set VII: Standard & Poor’s 100 Index Data B4
Data Set VIII: McDonald's Data B4
Data Set IX: Candidate Data B5
Data Set X: Kickers2010 Data B6
Data Set XI: Billboard Data B6
Data Set XII: Motorcycle Data B6
Data Set XIII: Simulated Data B7
APPENDIX C Statistical Tables C1
Table I Table of Binomial Probabilities C2
Table II Values of e C11
Table III Table of Poisson Probabilities C13
Table IV Standard Normal Distribution Table C19
Table V The t Distribution Table C21
Table VI ChiSquare Distribution Table C23
Table VII The F Distribution Table C24
Tables VIII through XII (listed below) are available from WileyPLUS or from www.wiley.com/college/mann.
Table VIII Critical Values of X for the Sign Test
Table IX Critical Values of T for the Wilcoxon SignedRank Test
Table X Critical Values of T for the Wilcoxon Rank Sum Test
Table XI Critical Values for the Spearman Rho Rank Correlation Coefficient Test
Table XII Critical Values for a TwoTailed Runs Test with A .05
ANSWERS TO SELECTED ODDNUMBERED EXERCISES AND SELF REVIEW TESTS AN1
INDEX
New To This Edition
 A large number of the examples, case studies and exercises are new or revised, providing contemporary and varied ways for students to practice statistical concepts.
 Factorials, combinations, and permutations have been moved from Chapter 5 to Section 4.3 of Chapter 4.
 New chapter opening images and questions incorporate real data in familiar situations.
 New data are integrated throughout, reinforcing the vibrancy of statistics and the relevance of statistics to student lives right now.
 The Technology Instruction sections have been updated to support the use of the latest versions of the TI84/84+, Minitab, and Excel.
 Technology Assignments, Uses and Misuses sections and Decide for Yourself sections at the end of each chapter are either new or have been updated.
 The data sets posted on the book companion Web site and WileyPLUS have also been updated.
The Wiley Advantage
 Thorough Examples: The text contains a wealth of examples that cover a wide variety of relevant topics. A large number are based on real data taken from government and private data sources and reports, newspapers, magazines and professional journals. A clear, concise solution (in a stepbystep format) follows each problem presented in an example. Enlightening Pedagogy: Effective markers and aids for students include margin notes for examples, diagrams, highlighted key definitions, and cautions about potential trouble spots that commonly cause errors.
 Case Studies appear in almost all chapters to provide additional illustrations of the applications of statistics in research and statistical analysis.
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