Continuous Probability Distributions: Intro + the Uniform (STAT  I – Full Lecture) @jbstatistics
Continuous Probability Distributions: Intro + the Uniform (STAT  I – Full Lecture)  @jbstatistics
Uploaded February 2026 | Updated September 2026, 2 hours ago
In this lecture-style video, I discuss properties of continuous probability distributions in general, and then the uniform distribution as an example. (Pitched at the level of an applied intro stats course at university.) I briefly touch on the calculus concepts along the way, and include the appropriate integrals, but this is for completeness and I don't require students in my applied stats courses to carry out any calculus.

This is a full lecture for my STAT I course, where I work through my lecture outline document (a condensed version of my full textbook chapter on continuous probability distributions). My students have these documents.

(In the coming year, I'll be releasing additional shorter videos on specific topics in statistics, along with more of these lecture-style videos.)
Continuous Probability Distributions: Intro + the Uniform (STAT  I – Full Lecture)Deriving the least squares estimators of the slope and intercept (simple linear regression)Inference for Two Means:  To pool or not to pool? (Old, fast version)One-Way ANOVA:  The FormulasInference for One Proportion: An ExampleThe Sampling Distribution of the Sample ProportionAn Introduction to Inference for Two ProportionsSimple Linear Regression: AssumptionsSimple Linear Regression: A Full Example (Old, fast version)Chi-square Tests for One-way TablesFinding the Appropriate z Value for the Confidence Interval Formula (Using a Table)Welch (Unpooled Variance) t Tests and Confidence Intervals: An Example
jbstatistics |

Continuous Probability Distributions: Intro + the Uniform (STAT I – Full Lecture)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER