De Morgans Laws (in a probability context) @jbstatistics
De Morgans Laws (in a probability context)  @jbstatistics
Uploaded January 2018 | Updated September 2026, 1 hour ago
A discussion of De Morgan's laws, in the context of basic probability. I illustrate De Morgan's laws using Venn diagrams, describe their meaning in a worded example, and show how they might be useful in a probability calculation.

I will get back to statistics videos in the not-too-distant future. Right now, I'm hammering away on probability for a little while.
De Morgans Laws (in a probability context)Introduction to Simple Linear Regression (Old, fast version)Inference for a Proportion: An Example of a Confidence Interval and a Hypothesis TestInference for Two Proportions: An ExampleConfidence Intervals for One Mean: Interpreting the IntervalMeasures of Central TendencyWhat Factors Affect the Margin of Error? (In a Confidence Interval for One Mean)Pooled-Variance t Tests and Confidence Intervals: IntroductionCalculating Power and the Probability of a Type II Error (A Two-Tailed Example)Chi-square tests:  Goodness of Fit for the Binomial DistributionInference for Two Proportions:  An Example of a Confidence Interval and a Hypothesis TestAn Introduction to Continuous Probability Distributions
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De Morgan's Laws (in a probability context)

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