The Hypergeometric Distribution: An Introduction (fast version) @jbstatistics
The Hypergeometric Distribution: An Introduction (fast version)  @jbstatistics
Uploaded October 2012 | Updated September 2026, 1 hour ago
An introduction to the hypergeometric distribution. I briefly discuss the difference between sampling with replacement and sampling without replacement. I describe the conditions required for the hypergeometric distribution to hold, discuss the formula, and work through 2 simple examples. I also discuss the relationship between the binomial distribution and the hypergeometric distribution, and a rough guideline for when the binomial distribution can be used as a reasonable approximation to the hypergeometric.
The Hypergeometric Distribution: An Introduction (fast version)Calculating Power and the Probability of a Type II Error (A One-Tailed Example)Standardizing Normally Distributed Random Variables (fast version)Introduction to the Negative Binomial DistributionUsing the Chi-square Table to Find Areas and PercentilesThe Normal Approximation to the Binomial DistributionChi-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 VarianceFinding Probabilities and Percentiles for a Continuous Probability DistributionConditional Probability Example ProblemsIntroduction to the Central Limit Theorem (fast version)
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The Hypergeometric Distribution: An Introduction (fast version)

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