Introductory statistics

Physical dimension

Summary / review / table of contents

CHAPTER 1 Introduction 1
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 Cross-Section Versus Time-Series Data 12
1.6 Sources of Data 14
1.7 Summation Notation 15
Uses and Misuses / Glossary / Supplementary Exercises / Self-Review Test / Mini-Project/ 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 One-Way 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 Stem-and-Leaf Displays 57
2.5 Dotplots 62
Uses and Misuses / Glossary /Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / 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 Box-and-Whisker Plot 123
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Appendix 3.1 / Self-Review Test / Mini-Projects / 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 / Self-Review Test / Mini-Projects / 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 / Self-Review Test / Mini-Projects / 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 / Self-Review Test / Mini-Projects / 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 ˆp 341
7.6 Applications of the Sampling Distribution of ˆp 348
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / 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 / Self-Review Test / Mini-Projects / 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 / Self-Review Test / Mini-Projects / 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 One-Way 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 / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 11 Chi-Square Tests 521
11.1 The Chi-Square Distribution 522
11.2 A Goodness-of-Fit 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 / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments
CHAPTER 12 Analysis of Variance 566
12.1 The F Distribution 567
12.2 One-Way Analysis of Variance 569
Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / 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 / Self-Review Test / Mini-Projects /
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 Chi-Square 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 Signed-Rank 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 Two-Tailed Runs Test with A .05
ANSWERS TO SELECTED ODD-NUMBERED EXERCISES AND SELF REVIEW TESTS AN1
INDEX I1

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