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## Free Book: Introduction to Statistics Article originally posted on Data Science Central. Visit Data Science Central

Online Statistics Education: A Multimedia Course of Study.  Project Leader: David M. Lane, Rice University.

Content:

• Introduction
• Graphing Distributions
• Summarizing Distributions
• Describing Bivariate Data
• Probability
• Research Design
• Normal Distributions
• Sampling Distributions
• Estimation
• Logic of Hypothesis Testing
• Testing Means
• Power
• Regression
• ANOVA
• Transformations
• Chi Square
• Distribution Free Tests
• Effect Size
• Case Studies
• Calculators
• Glossary Guess what the correlation is: see here

The (free) PDF version (660 pages) is available here.The online book also features various calculators (Gaussian distributions etc.) as well as the following simulations:

• Introduction: Sampling, Measurement
• Graphing Distributions: Box Plot
• Summarizing Distributions: Balance Scale, Absolute Difference, Squared Differences, Mean and Median,Variability Demo, Estimating Variance , Comparing Distributions
• Describing Bivariate Data: Guessing Correlations, Restriction of Range
• Probability: Conditional Probability, Gamblers Fallacy, Birthday, Binomial, Bayes’ Theorem, Monty Hall Problem
• Normal Distributions: Varieties of Normal Distributions, Normal Approximation
• Sampling Distributions: Basic Demo, Sample Size Demo, Sampling Distributions, Central Limit Theorem
• Estimation: Confidence Interval
• Logic of Hypothesis Testing (none): Testing Means, t Distribution, Robustness , Correlated t Test
• Power: Power 1, Power 2
• Prediction: Linear Fit
ANOVA: One-Way, Power of Within-Subjects Designs
• Chi Square: 2 x 2 Table,  Testing Distributions

This resource is accessible here.

Related resources:

DSC Resources