Table of Contents
Chapter 1 – GETTING STARTED
- 1.1 What Is Statistics?
- 1.2 Random Samples
- 1.3 Introduction to Experimental Design
Chapter 2 – ORGANIZING DATA
- 2.1 Frequency Distributions, Histograms, and Related Topics
- 2.2 Bar Graphs, Circle Graphs, and Time-Series Graphs
- 2.3 Stem-and-Leaf Displays
Chapter 3 – FRACTIONS
- 3.1 Measures of Central Tendency: Mode, Median, and Mean
- 3.2 Measures of Variation
- 3.3 Percentiles and Box-and-Whisker Plots
Chapter 4 – CORRELATION AND REGRESSION
- 4.1 Scatter Diagrams and Linear Correlation
- 4.2 Linear Regression and the Coefficient of Determination
Chapter 5 – ELEMENTARY PROBABILITY THEORY
- 5.1 What Is Probability
- 5.2 Some Probability Rules – Compound Events
- 5.3 Tree Diagrams and Counting Techniques
Chapter 6 – THE BINOMIAL PROBABILITY DISTRIBUTION AND RELATED TOPICS
- 6.1 Introduction to Random Variables and Probability Distributions
- 6.2 Binomial Probabilities
- 6.3 Additional Properties of the Binomial Distribution
Chapter 7 – NORMAL CURVES AND SAMPLING DISTRIBUTIONS
- 7.1 Graphs of Normal Probability Distributions
- 7.2 Standard Units and Areas Under the Standard Normal Distribution
- 7.3 Areas Under Any Normal Curve
- 7.4 Sampling Distributions
- 7.5 The Central Limit Theorem
- 7.6 Normal Approximations to the Binomial Distribution
Chapter 8 – ESTIMATION
- 8.1 Estimating μ When σ Is Known
- 8.2 Estimating μ When σ Is Unknown
- 8.3 Estimating p in the Binomial Distribution
Chapter 9 – HYPOTHESIS TESTING
- 9.1 Introduction to Statistical Tests
- 9.2 Testing the Mean μ
- 9.3 Testing a Proportion p
Chapter 10 – INFERENCES ABOUT DIFFERENCES
- 10.1 Tests Involving Paired Differences (Dependent Samples)
- 10.2 Inferences About the Difference of Two Means μ1 – μ2
- 10.3 Inferences About the Difference of Two Proportions p1 – p2
Chapter 11 – ADDITIONAL TOPICS USING INFERENCE
- 11.1 Chi-Square: Tests of Independence and of Homogeneity
- 11.2 Chi-Square: Goodness of Fit
- 11.3 Testing a Single Variance or Standard Deviation
- 11.4 Inferences for Correlation and Regression
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