Course Contents at a Glance

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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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