Course Contents at a Glance

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The following list shows a summary of the topics covered in this course. To see all of the course pages, visit the Table of Contents.

Module 1: Sampling and Data

  • Key Terms
  • Data Collection: Sampling Methods
  • Organizing and Displaying Qualitative Data
  • Data Collection: Experiments

Module 2: Descriptive Statistics

  • Graphs of Data
  • Histograms, Frequency Polygons, and Time Series Graphs
  • Location within a Distribution
  • Box Plot Data
  • Measures of Center
  • Skewed Distributions
  • Measures of Spread

Module 3: Probability

  • Probability Terms
  • Independent and Mutually Exclusive Events
  • Probability Rules
  • Contingency Tables
  • Tree and Venn Diagrams

Module 4: Discrete Random Variables

  • Discrete Random Variables
  • Expected Value
  • Binomial Distribution
  • Geometric Distribution
  • Hypergeometric Distribution
  • Poisson Distribution

Module 5: Continuous Random Variables

  • Continuous Probability Functions
  • Uniform Distributions
  • Exponential Distribution

Module 6: Normal Distribution

  • Standard Normal Distribution
  • Non-Standard Normal Distribution

Module 7: The Central Limit Theorem

  • Central Limit Theorem for Sample Means
  • Central Limit Theorem for Sums
  • Applying the Central Limit Theorem

Module 8: Confidence Intervals

  • Confidence Interval for a Mean (Normal Distribution)
  • Confidence Interval for a Mean (t Distribution)
  • Confidence Interval for a Proportion

Module 9: Hypothesis Testing With One Sample

  • Defining Hypotheses
  • Outcomes and Errors
  • Identifying Distribution for a Hypothesis Test
  • Drawing Conclusions
  • Review of Hypothesis Testing

Module 10: Hypothesis Testing With Two Samples

  • Two Population Means (Standard Deviation Unknown)
  • Two Population Means (Standard Deviation Known)
  • Two Proportions
  • Matched or Paired Samples

Module 11: The Chi Square Distribution

  • The Chi-Square Distribution
  • Goodness-of-Fit Test
  • Test of Independence
  • Test for Homogeneity
  • Comparing Chi-Square Tests
  • Test of a Single Variance

Module 12: Linear Regression and Correlation

  • Linear Equations
  • Scatter Plots
  • The Regression Equation
  • Hypothesis Testing for Correlation Coefficient
  • Prediction
  • Outliers

Module 13: F-Distribution and the One-Way ANOVA

  • One-Way ANOVA
  • F Distribution and F-Ratio
  • F Distribution Facts
  • Test of Two Variances