Standardizing Normally Distributed Random Variables (fast version) @jbstatistics

Uploaded June 2012 | Updated September 2026, 39 minutes ago

I have a slightly slower and more refined version of this video available at youtu.be/4R8xm19DmPM.

I discuss standardizing normally distributed random variables (turning variables with a normal distribution into something that has a standard normal distribution). I work through an example of a probability calculation, and an example of finding a percentile of the distribution. It is assumed that you can find values from the standard normal distribution, using either a table or a computer.

Standardizing Normally Distributed Random Variables (fast version)

Introduction to the Negative Binomial Distribution

Using the Chi-square Table to Find Areas and Percentiles

The Normal Approximation to the Binomial Distribution

Chi-square tests for count data: Finding the p-value (old, fast version)

Measures of Variability (Variance, Standard Deviation, Range, Mean Absolute Deviation)

Proof that the Sample Variance is an Unbiased Estimator of the Population Variance

Finding Probabilities and Percentiles for a Continuous Probability Distribution

Conditional Probability Example Problems

Introduction to the Central Limit Theorem (fast version)

Z-Scores (As a Descriptive Measure of Relative Standing)

Calculating Power and P(Type II error) (A One-Tailed Z Test Example)