An Introduction to Inference for One Variance (Assuming a Normally Distributed Population) @jbstatistics
An Introduction to Inference for One Variance (Assuming a Normally Distributed Population)  @jbstatistics
Uploaded May 2014 | Updated September 2026, 3 hours ago
I discuss confidence intervals and hypothesis tests for a variance when sampling from a normally distributed population. I discuss the logic behind the procedures, discuss some characteristics of the sampling distribution of the sample variance, and give the appropriate formulas. I briefly discuss the results for an example problem, but I don't work through any of the calculations in this video. (I have another video in which I work through a complete example -- it's available at youtu.be/tsLGbpu_NPk)

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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?Deriving a Confidence Interval for a Variance (Assuming a Normally Distributed Population)
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An Introduction to Inference for One Variance (Assuming a Normally Distributed Population)

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