Type I Errors, Type II Errors, and the Power of the Test @jbstatistics

Type I Errors, Type II Errors, and the Power of the Test @jbstatistics

Uploaded March 2013 | Updated September 2026, 2 hours ago

A discussion of Type I errors, Type II errors, their probabilities of occurring (alpha and beta), and the power of a hypothesis test.

Type I Errors, Type II Errors, and the Power of the Test

Deriving the Mean and Variance of the Sample Mean

The Law of Total Probability

Confidence Intervals for One Mean: Determining the Required Sample Size

Inference for Two Means: Introduction

Simple Linear Regression: Inference on the Slope (The Formulas) (Old, fast version)

The Binomial Distribution: Mathematically Deriving the Mean and Variance

Proof that if events A and B are independent, so are Ac and B (and A and Bc)

Discrete Probability Distributions: The Poisson Distribution (STAT I – Full Lecture)

The Poisson Distribution: Introduction (fast version)

Finding Percentiles Using the Standard Normal Table (for tables that give the area to left of z)

The Sample Variance: Why Divide by n-1?

Type I Errors, Type II Errors, and the Power of the Test