Elementary Statistics (Bluman), 7th Edition

Chapter 1: The Nature of Probability and Statistics
Introduction
1.1 Descriptive and Inferential Statistics
1.2 Variables and Types of Data
1.3 Data Collection and Sampling Techniques
1.4 Observational and Experimental Studies
1.5 Uses and Misuses of Statistics
1.6 Computers and Calculators
Summary

Chapter 2: Frequency Distributions and Graphs
Introduction
2.1 Organizing Data
2.2 Histograms, Frequency Polygons, and Ogives
2.3 Other Types of Graphs
Summary

Chapter 3: Data Description
Introduction
3.1 Measures of Central Tendency
3.2 Measures of Variation
3.3 Measures of Position
3.4 Exploratory Data Analysis
Summary

Chapter 4: Probability and Counting Rules
Introduction
4.1 Sample Spaces and Probability
4.2 The Addition Rules for Probability
4.3 The Multiplication Rules and Conditional Probability
4.4 Counting Rules
4.5 Probability and Counting Rules
Summary

Chapter 5: Discrete Probability Distributions
Introduction
5.1 Probability Distributions
5.2 Mean, Variance, Standard Deviation, and Expectation
5.3 The Binomial Distribution
5.4 Other Types of Distributions (Optional)
Summary

Chapter 6: The Normal Distribution
Introduction
6.1 Normal Distribution
6.2 Applications of the Normal Distribution
6.3 The Central Limit Theorem
6.4 The Normal Approximation to the Binomial Distribution
Summary

Chapter 7: Confidence Intervals and Sample Size
Introduction
7.1 Confidence Intervals for the Mean When σ Known and Sample Size
7.2 Confidence Intervals for the Mean When σ Unknown
7.3 Confidence Intervals and Sample Size for Proportions
7.4 Confidence Intervals for Variances and Standard Deviations
Summary

Chapter 8: Hypothesis Testing
Introduction
8.1 Steps in Hypothesis Testing – Traditional Method
8.2 z Test for a Mean
8.3 t Test for a Mean
8.4 z Test for a Proportion
8.5 x2 Test for a Variance or Standard Deviation
8.6 Additional Topics Regarding Hypothesis Testing
Summary

Chapter 9: Testing the Difference Between Two Means, Two Variances, and Two Proportions
Introduction
9.1 Testing the Difference Between Two Means: Using the z Test
9.2 Testing the Difference Between Two Means: Independent Samples using the t Test
9.3 Testing the Difference Between Two Means: Small Dependent Samples
9.4 Testing the Difference Between Proportions
9.5 Testing the Difference Between Two Variances
Summary

Chapter 10: Correlation and Regression
Introduction
10.1 Scatter Plots and Correlation
10.2 Regression
10.3 Coefficient of Determination and Standard Error of the Estimate
10.4 Multiple Regression (Optional)
Summary

Chapter 11: Other Chi-Square Tests
Introduction
11.1 Test for Goodness of Fit
11.2 Tests Using Contingency Tables
Summary

Chapter 12: Analysis of Variance
Introduction
12.1 One-Way Analysis of Variance
12.2 The Scheffe Test and the Turkey Test
12.3 Two-Way Analysis of Variance
Summary

Chapter 13: Nonparametric Statistics
Introduction
13.1 Advantages and Disadvantages of Nonparametric Methods
13.2 The Sign Test
13.3 The Wilcoxon Rank Sum Test
13.4 The Wilcoxon Signed-Rank Test
13.5 The Kruskal-Wallis Test
13.6 The Spearman Rank Correlation Coefficient and the Runs Test
Summary

Chapter 14: Sampling and Simulation
Introduction
14.1 Common Sampling Techniques
14.2 Surveys and Questionnaire Design
14.3 Simulation Techniques and The Monte Carlo Method
Summary

Appendix A: Algebra Review

Appendix B-1: Writing the Research Report

Appendix B-2: Bayes’ Theorem

Appendix B-3: Alternate Approach to the Standard Normal Distribution

Appendix C: Tables

Appendix D: Data Bank

Appendix E: Glossary

Appendix F: Bibliography

Appendix G: Photo Credits

Appendix H: Selected Answers

Index