The following list shows the module-level topics for the course. To see all of the course pages, visit the Table of Contents.

Module 1: Types of Statistical Studies and Producing Data

• Types of Statistical Studies
• Sampling
• Conducting Experiments

Module 2: Summarizing Data Graphically and Numerically

• Categorical vs. Quantitative Data
• Dotplots
• Histograms
• Mean and Median
• Interquartile Range and Boxplots
• Standard Deviation

Module 3: Examining Relationships: Quantitative Data

• Scatterplots
• Linear Relationships
• Causation and Lurking Variables
• Linear Regression
• Assessing the Fit of a Line

Module 4: Nonlinear Models

• Exponential Relationships

Module 5: Relationships in Categorical Data with Intro to Probability

• Two-Way Table

Module 6: Probability and Probability Distributions

• Another Look at Probability
• Probability Rules
• Discrete Random Variables
• Continuous Probability Distribution
• Normal Random Variables

Module 7: Linking Probability to Statistical Inference

• Parameters vs. Statistics
• Distribution of Sample Proportions
• Statistical Inference

Module 8: Inference for One Proportion

• Estimating a Population Proportion
• Hypothesis Testing
• Hypothesis Test for a Population Proportion

Module 9: Inference for Two Proportions

• Distribution Differences in Sample Proportions
• Estimate the Difference Between Population Proportions
• Hypothesis Test for Difference in Two Population Proportions

Module 10: Inference for Means

• Distribution of Sample Means
• Estimating a Population Mean
• Hypothesis Test for a Population Mean
• Inference for a Difference in Two Population Means
• Hypothesis Test for a Difference in Two Population Means
• Estimating the Difference in Two Population Means

Module 11: Chi-Square Tests

• Goodness-of-Fit
• Test of Independence
• Test of Homogeneity

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