Confidence Intervals for One Mean:  Sigma Known (Z Method) @jbstatistics
Confidence Intervals for One Mean:  Sigma Known (Z Method)  @jbstatistics
Uploaded February 2012 | Updated September 2026, 2 hours ago
I have an updated and revised version of this video available at youtu.be/KG921rfbTDw. Please watch the improved version.

An introduction to confidence intervals for the population mean mu. These methods are appropriate when we are sampling from a normally distributed population, and the population standard deviation sigma is known. When the population standard deviation is not known, as is usually the case, we need to use a slightly different method (a method based on the t distribution).
Confidence Intervals for One Mean:  Sigma Known (Z Method)Type I Errors, Type II Errors, and the Power of the TestDeriving the Mean and Variance of the Sample MeanThe Law of Total ProbabilityConfidence Intervals for One Mean:  Determining the Required Sample SizeInference for Two Means:  IntroductionSimple Linear Regression:  Inference on the Slope (The Formulas)  (Old, fast version)The Binomial Distribution: Mathematically Deriving the Mean and VarianceProof that if events A and B are independent, so are Ac and B (and A and Bc)Discrete Probability Distributions: The Poisson Distribution (STAT I – Full Lecture)The Poisson Distribution:  Introduction (fast version)Finding Percentiles Using the Standard Normal Table (for tables that give the area to left of z)
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Confidence Intervals for One Mean: Sigma Known (Z Method)

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