An Introduction to Continuous Probability Distributions @jbstatistics

Uploaded December 2012 | Updated September 2026, 2 hours ago

An introduction to continuous random variables and continuous probability distributions. I briefly discuss the probability density function (pdf), the properties that all pdfs share, and the notion that for continuous random variables probabilities are areas under the curve.

An Introduction to Continuous Probability Distributions

Expected Value and Variance of Discrete Random Variables

Inference for One Proportion: Determining the Required Sample Size

Confidence Intervals for One Mean: Finding the Appropriate Z Value

Finding Percentiles and Areas for the F Distribution Using R

Introduction to the Central Limit Theorem

Hypothesis Tests for One Population Variance

Pooled-Variance t Tests and Confidence Intervals: An Example

Deriving the Mean and Variance of a Continuous Probability Distribution

Using R to Find Chi-square Areas and Percentiles