Online Statistics Education: An Interactive Multimedia Course of Study

Developed by Rice University (Lead Developer), University of Houston Clear Lake, and Tufts University

This work is in the public domain. Therefore, it can be copied and reproduced without limitation. However, we would appreciate a citation where possible. Please cite as: Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University.

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If you are an instructor using these materials in a class we would appreciate hearing from you. We can send you an instructor's manual, PowerPoint Slides, and additional questions that may be helpful to you. Please email

Version in PDF

e-Pub (e-book)

Interactive e-book (for IOS and OS X)

Table of Contents

- Introduction
- Graphing Distributions
- Summarizing Distributions
- Describing Bivariate Data
- Probability
- Research Design
- Normal Distributions
- Advanced Graphs
- Sampling Distributions
- Estimation
- Logic of Hypothesis Testing
- Testing Means
- Power
- Regression
- ANOVA
- Transformations
- Chi Square
- Distribution Free Tests
- Effect Size
- Case Studies
- Calculators
- Glossary

Mobile

This version uses formatting that works better for mobile devices.

Rice Virtual Lab in Statistics

This is the original classic with all the simulations and case studies.

e-Pub (e-book)

Partial support for this work was provided by the National Science Foundation's Division of Undergraduate Education through grants DUE-9751307, DUE-0089435, and DUE-0919818. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Rice Virtual Laboratory Simulations including the Sampling Distribution Simulation

OnlineStatBook Simulations

- Introduction Sampling
- Graphing Distributions Box Plot
- Summarizing Distributions Balance Scale
- Describing Bivariate Data Guessing Correlations
- Probability Conditional Probability
- Normal Distributions Varieties of Normal Distributions
- Sampling Distributions Basic Demo
- Estimation Confidence Interval
- Logic of Hypothesis Testing (none)

- Testing Means t Distribution
- Power Power 1
- Prediction Linear Fit
- ANOVA One-Way
- Chi Square 2 x 2 Table

Measurement

Absolute Difference

Squared Differences

Mean and Median

Variability Demo

Estimating Variance

Comparing Distributions

Restriction of Range

Gamblers Fallacy

Birthday

Binomial

Bayes' Theorem

Monty Hall Problem

Normal Approximation

Sample Size Demo:

Sampling Distributions

Central Limit Theorem

Robustness

Correlated t Test

Power 2

Power of Within-Subjects Designs

Testing Distributions