# 12.10: Course Contents at a Glance


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 Experients

## 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