Normal Quantile-Quantile Plots @jbstatistics

Uploaded January 2013 | Updated September 2026, 2 hours ago

An introduction to normal quantile-quantile (QQ) plots (a graphical method for assessing whether a set of observations is approximately normally distributed). I discuss the motivation for the plot, the construction of the plot, then look at several examples. In the examples I look at what a normal quantile-quantile plot looks like when sampling from various other distributions. I then illustrate what normal QQ plots look like when sampling from a normal distribution by simulating several samples, for two different sample sizes.

Dont watch this! (A t test example where nearly everything I say is wrong)

Inference for Two Means: Introduction (Old, fast version)

Finding the p-value in one-sample Z tests

Sampling Distributions: Introduction to the Concept

R Basics: Finding Percentiles and Areas for the t Distribution

Inference for a Variance: How Robust are These Procedures?

Hypothesis Testing: Introduction | Full Lecture (Intro Stats)

Simple Linear Regression: Checking Assumptions with Residual Plots (Old, fast version)

Statistical Significance versus Practical Significance