# Statistics

### Licensing Information

This text was adapted by #OpenCourseWare under an Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

• 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

#### 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
• 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