An Introduction to the Hypergeometric Distribution
The Normal Approximation to the Binomial Distribution
Introduction to the Bernoulli Distribution
Introduction to the Central Limit Theorem
Introduction to the t Distribution (non-technical)
Finding the P-value in One-Way ANOVA
Introduction to the Multinomial Distribution
The Binomial Distribution: Mathematically Deriving the Mean and Variance
Introduction to the Negative Binomial Distribution
Chi-square tests for count data: Finding the p-value
An Introduction to Inference for One Variance (Assuming a Normally Distributed Population)
The Expected Value and Variance of Discrete Random Variables
Standardizing Normally Distributed Random Variables (fast version)
An Introduction to Continuous Probability Distributions
An Introduction to Hypothesis Testing
Introduction to Simple Linear Regression
Standardizing Normally Distributed Random Variables
Sampling Distributions: Introduction to the Concept
Calculating Power and the Probability of a Type II Error (A One-Tailed Example)
Simple Linear Regression: The Least Squares Regression Line
Z Tests for One Mean: Introduction
Finding Probabilities and Percentiles for a Continuous Probability Distribution
The Hypergeometric Distribution: An Introduction (fast version)
The Sampling Distribution of the Sample Mean
Calculating Power and the Probability of a Type II Error (A Two-Tailed Example)
An Introduction to the Chi-Square Distribution
Confidence Intervals for One Population Variance
Normal Quantile-Quantile Plots
Deriving a Confidence Interval for the Mean (The Rationale Behind the Confidence Interval Formula)
Proof that the Sample Variance is an Unbiased Estimator of the Population Variance
The Relationship Between Confidence Intervals and Hypothesis Tests
Z Tests for One Mean: An Example
Confidence Intervals for One Mean: Sigma Not Known (t Method)
Type I Errors, Type II Errors, and the Power of the Test
t Tests for One Mean: Introduction
Simple Linear Regression: Interpreting Model Parameters
One-Way ANOVA: The Formulas
Pooled-Variance t Tests and Confidence Intervals: Introduction
Chi-square tests: Goodness of Fit for the Binomial Distribution
Simple Linear Regression: An Example
Finding Areas Using the Standard Normal Table (for tables that give the area to left of z)
Chi-square Tests of Independence (Chi-square Tests for Two-Way Tables)
Z Tests for One Mean: The Rejection Region Approach
Pooled-Variance t Tests and Confidence Intervals: An Example
Welch (Unpooled Variance) t Tests and Confidence Intervals: An Example
Inference on the Slope (The Formulas)
Z Tests for One Mean: The p-value
Finding Percentiles Using the Standard Normal Table (for tables that give the area to left of z)
Chi-square Tests for One-way Tables
Finding Percentiles Using the Standard Normal Table (for tables that give the area between 0 and z)
An Introduction to the Binomial Distribution
An Introduction to the t Distribution (Includes some mathematical details)
Hypothesis Tests for Equality of Two Variances
Intervals (for the Mean Response and a Single Response) in Simple Linear Regression
Simple Linear Regression: Assumptions
Statistical Significance versus Practical Significance
Expected Value and Variance of Discrete Random Variables
An Introduction to the Chi-Square Distribution
Introduction to One-Way ANOVA
One-Way ANOVA: LSD confidence intervals
