Introductory Statistics
8th Edition

Introductory Statistics
Prem S. Mann


© 2013

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  6. Minitab Manual
  7. Excel Manual
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Topics covered

CHAPTER 1 Introduction

  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. Population Versus Sample
  5. Case Study 1–3 Are We Becoming Less "Green?"
  6. Basic Terms
  7. Types of Variables
  8. Cross-Section Versus Time-Series Data
  9. Sources of Data
  10. Summation Notation

Uses and Misuses / Glossary / Supplementary Exercises / Self-Review Test / Mini-Project/ Decide for Yourself / Technology Instruction / Technology Assignments

CHAPTER 2 Organising and Graphing Data

  1. Organising and Graphing Qualitative Data
  2. Case Study 2–1 Will Today's Children Be Better Off Than Their Parents?
  3. Case Study 2–2 Employees' Overall Financial Stress Levels
  4. Organising and Graphing Quantitative Data
  5. Case Study 2–3 How Long Does Your Typical One-Way Commute Take?
  6. Case Study 2–4 How Much Does It Cost to Insure a Car?
  7. Case Study 2–5 How Many Cups of Coffee Do You Drink a Day?
  8. Cumulative Frequency Distributions
  9. Stem-and-Leaf Displays
  10. Dotplots

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

  1. Measures of Central Tendency for Ungrouped Data
  2. Case Study 3–1 Average NFL Ticket Prices in the Secondary Market
  3. Case Study 3–2 Average Is Over
  4. Case Study 3–3 Education Pays
  5. Measures of Dispersion for Ungrouped Data 
  6. Mean, Variance, and Standard Deviation for Grouped Data
  7. Use of Standard Deviation
  8. Case Study 3–4 Does Spread Mean the Same as Variability and Dispersion?
  9. Measures of Position
  10. Box-and-Whisker Plot

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

  1. Experiment, Outcome, and Sample Space
  2. Calculating Probability
  3. Marginal Probability, Conditional Probability, and Related Probability Concepts
  4. Case Study 4–1 Do You Worry About Your Weight?
  5. Intersection of Events and the Multiplication Rule
  6. Union of Events and the Addition Rule
  7. Counting Rule, Factorials, Combinations, and Permutations
  8. Case Study 4–2 Probability of Winning a Mega Millions Lottery Jackpot

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

  1. Random Variables
  2. Probability Distribution of a Discrete Random Variable
  3. Mean and Standard Deviation of a Discrete Random Variable
  4. Case Study 5–1 $1,000 Downpour
  5. The Binomial Probability Distribution
  6. The Hypergeometric Probability Distribution
  7. The Poisson Probability Distribution
  8. Case Study 5–2 Global Birth and Death Rates

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

  1. Continuous Probability Distribution and the Normal Probability Distribution
  2. Case Study 6–1 Distribution of Time Taken to Run a Road Race
  3. Standardising a Normal Distribution
  4. Applications of the Normal Distribution
  5. Determining the z and x Values When an Area Under the Normal Distribution Curve Is Known
  6. The Normal Approximation to the Binomial Distribution



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

  1. Sampling Distribution, Sampling Error, and Nonsampling Errors
  2. Mean and Standard Deviation of x–
  3. Shape of the Sampling Distribution of x–
  4. Applications of the Sampling Distribution of x–
  5. Population and Sample Proportions; and Mean, Standard Deviation, and Shape of the Sampling Distribution of p
  6. Applications of the Sampling Distribution of ˆp

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

  1. Estimation, Point Estimate, and Interval Estimate
  2. Estimation of a Population Mean: Known
  3. Case Study 8–1 How Much Did Registered Nurses Earn in 2011?
  4. Estimation of a Population Mean: Not Known
  5. 8.4 Estimation of a Population Proportion: Large Samples
  6. Case Study 8–2 Do You Bring Your Lunch From Home?

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

  1. Hypothesis Tests: An Introduction
  2. Hypothesis Tests About: Known
  3. Case Study 9–1 Average Student Debt for the Class of 2010
  4. Hypothesis Tests About: Not Known
  5. Hypothesis Tests About a Population Proportion: Large Samples
  6. Case Study 9–2 Is Raising Taxes on the Rich Fair?

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

  1. Inferences About the Difference Between Two Population Means for Independent Samples: 1 and 2 Known
  2. Inferences About the Difference Between Two Population Means for Independent Samples: 1 and 2 Unknown but Equal
  3. Case Study 10–1 One-Way Commute Times For Six Cities
  4. Inferences About the Difference Between Two Population Means for Independent Samples: 1 and 2 Unknown and Unequal
  5. Inferences About the Difference Between Two Population Means for Paired Samples
  6. Inferences About the Difference Between Two Population Proportions for Large and Independent Samples
  7. Case Study 10–2 Do You Worry About Your Weight?

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

  1. The Chi-Square Distribution
  2. A Goodness-of-Fit Test
  3. Case Study 11–1 Are People on Wall Street Honest and Moral?
  4. A Test of Independence or Homogeneity
  5. Inferences About the Population Variance

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

  1. The F Distribution
  2. One-Way Analysis of Variance

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

  1. Simple Linear Regression
  2. Case Study 13–1 Regression of Weights on Heights for NFL Players
  3. Standard Deviation of Errors and Coefficient of Determination
  4. Inferences About B
  5. Linear Correlation
  6. Regression Analysis: A Complete Example
  7. Using the Regression Model

Uses and Misuses / Glossary / Supplementary Exercises / Advanced Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Technology Instruction / Technology Assignments

CHAPTER 14 Multiple Regression

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

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