Statistics

Chapter 1: Introduction to Statistics and Statistical Thinking

• Overview

Chapter 2: Statistics in Practice

• Observational Studies
• Controlled Experiments

Chapter 3: Visualizing Data

• The Histogram
• Graphing Data

Chapter 4: Frequency Distributions

• Frequency Distributions for Quantitative Data
• Frequency Distributions for Qualitative Data

Chapter 5: Describing, Exploring, and Comparing Data

• Central Tendency
• Measures of Relative Standing
• The Law of Averages
• Further Considerations for Data

Chapter 6: Measures of Variation

• Describing Variability

Chapter 7: Sampling

• Populations and Samples
• Sample Surveys
• Sampling Distributions
• Errors in Sampling
• Sampling Examples

Chapter 8: Probability

• What Are the Chances?
• Probability Rules
• More About Chance

Chapter 9: Probability and Variability

• Discrete Random Variables
• The Binomial Random Variable
• Other Random Variables

Chapter 10: Continuous Random Variables

• The Normal Curve
• Normal Approximation
• Measurement Error
• Expected Value and Standard Error
• Normal Approximation for Probability Histograms

Chapter 11: Correlation and Regression

• Correlation
• More About Correlation
• Regression
• The Regression Line
• R.M.S. Error for Regression
• Multiple Regression

Chapter 12: Estimation and Hypothesis Testing

• Estimation
• Statistical Power
• Comparing More than Two Means
• Confidence Intervals
• Hypothesis Testing: One Sample
• Hypothesis Testing: Two Samples
• Hypothesis Testing: Correlations
• One-Way ANOVA
• Two-Way ANOVA
• Repeated-Measures ANOVA

Chapter 13: Other Hypothesis Tests

• The t-Test
• The Chi-Squared Test
• Tests for Ranked Data
• Nonparametric Statistics

Chapter 14: A Closer Look at Tests of Significance

• Which Test?
• A Closer Look at Tests of Significance