Continuous Probability Distributions: The Normal Distribution (STAT  I – Full Lecture) @jbstatistics
Continuous Probability Distributions: The Normal Distribution (STAT  I – Full Lecture)  @jbstatistics
Uploaded February 2026 | Updated September 2026, 2 hours ago
In this lecture-style video, I discuss the normal distribution (Pitched at the level of an applied intro stats course at university.) I discuss some of its general properties, and do some examples of finding areas and percentiles using R. (I do not use statistical tables in my course or in the video; I use R in my courses.)

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: The Normal Distribution (STAT  I – Full Lecture)An Introduction to Inference for One Variance (Assuming a Normally Distributed Population)Z Tests for One Mean:  The p-valueConfidence Intervals for One Mean:  Investigating the Normality AssumptionUsing the F Table to Find Areas and PercentilesConfidence Intervals for a Proportion:  Determining the Minimum Sample SizeInference on the Slope (An Example)An Introduction to Discrete Random Variables and Discrete Probability DistributionsHypothesis Tests on One Mean:  Finding the Rejection Region in a Z testAn Introduction to Inference for a ProportionZ Tests for One Mean:  IntroductionWhat Does Independence Look Like on a Venn Diagram?
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Continuous Probability Distributions: The Normal Distribution (STAT I – Full Lecture)

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