Description
Book SynopsisTable of ContentsNOTE: Each chapter begins with "Where You've Been" and "Where You're Going" features. Each chapter concludes with Chapter Summary, Review Exercises, Chapter Quiz, and Chapter Test. I. DESCRIPTIVE STATISTICS
- Introduction to Statistics
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- 1.1 An Overview of Statistics
- 1.2 Data Classification
- 1.3 Data Collection and Experimental Design
- Descriptive Statistics
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- 2.1 Frequency Distributions and Their Graphs
- 2.2 More Graphs and Displays
- 2.3 Measures of Central Tendency
- 2.4 Measures of Variation
- 2.5 Measures of Position
- Cumulative Review: Chapters 1 & 2
II. PROBABILITY AND PROBABILITY DISTRIBUTIONS
- Probability
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- 3.1 Basic Concepts of Probability and Counting
- 3.2 Conditional Probability and the Multiplication Rule
- 3.3 The Addition Rule
- 3.4 Additional Topics in Probability and Counting
- Discrete Probability Distributions
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- 4.1 Probability Distributions
- 4.2 Binomial Distributions
- 4.3 More Discrete Probability Distributions
- Normal Probability Distributions
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- 5.1 Introduction to Normal Distributions and the Standard Normal Distribution
- 5.2 Normal Distributions: Finding Probabilities
- 5.3 Normal Distributions: Finding Values
- 5.4 Sampling Distributions and the Central Limit Theorem
- 5.5 Normal Approximations to Binomial Distributions
- Cumulative Review: Chapters 3-5
III. STATISTICAL INFERENCE
- Confidence Intervals
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- 6.1 Confidence Intervals for the Mean (Known)
- 6.2 Confidence Intervals for the Mean (Unknown)
- 6.3 Confidence Intervals for Population Proportions
- 6.4 Confidence Intervals for Variance and Standard Deviation
- Hypothesis Testing with One Sample
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- 7.1 Introduction to Hypothesis Testing
- 7.2 Hypothesis Testing for the Mean (Known)
- 7.3 Hypothesis Testing for the Mean (Unknown)
- 7.4 Hypothesis Testing for Proportions
- 7.5 Hypothesis Testing for Variance and Standard Deviation
- Hypothesis Testing with Two Samples
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- 8.1 Testing the Difference Between Means (Independent Samples, 1 and 2 Known)
- 8.2 Testing the Difference Between Means (Independent Samples, 1 and 2 Unknown)
- 8.3 Testing the Difference Between Means (Dependent Samples)
- 8.4 Testing the Difference Between Proportions
- Cumulative Review: Chapters 6-8
IV. MORE STATISTICAL INFERENCE
- Correlation and Regression
- 9.1 Correlation
- 9.2 Linear Regression
- 9.3 Measures of Regression and Prediction Intervals
- 9.4 Multiple Regression
- Chi-Square Tests and theF-Distribution
- 10.1 Goodness-of-Fit Test
- 10.2 Independence
- 10.3 Comparing Two Variances
- 10.4 Analysis of Variance
- Cumulative Review: Chapters 9 & 10
- Nonparametric Tests (Online Only)*
- 11.1 The Sign Test
- 11.2 The Wilcoxon Tests
- 11.3 The Kruskal-Wallis Test
- 11.4 Rank Correlation
- 11.5 The Runs Test
- * Available in MyLab Statistics.
Appendix A: Alternative Presentation of the Standard Normal Distribution
- Standard Normal Distribution Table
- Alternative Presentation of the Standard Normal Distribution
Appendix B: Tables
- Table 1 Random Numbers
- Table 2 Binomial Distribution
- Table 3 Poisson Distribution
- Table 4 Standard Normal Distribution
- Table 5 t-Distribution
- Table 6 Chi-Square Distribution
- Table 7 F-Distribution
- Table 8 Critical Values for the Sign Test
- Table 9 Critical Values for the Wilcoxon Signed-Rank Test
- Table 10 Critical Values for the Spearman Rank Correlation Coefficient
- Table 11 Critical Values for the Pearson Correlation Coefficient
- Table 12 Critical Values for the Number of Runs
Appendix C: Normal Probability Plots Appendix D: Key Formulas Answers to the Try It Yourself Exercises Answers to the Odd-Numbered Exercises Index
