Z Tests for One Mean:  Introduction @jbstatistics
Z Tests for One Mean:  Introduction  @jbstatistics
Uploaded January 2013 | Updated September 2026, 2 hours ago
An introduction to Z tests for a population mean mu. These tests are appropriate when sampling from a normally distributed population where sigma is known. I discuss the hypotheses and the underlying logic, and work through an example. I do not discuss the rejection region or p-value in an in-depth way in this video -- I discuss them in other videos, and provide links at the end of this one.
Z 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)The Sampling Distribution of the Sample MeanUsing the t Table to Find Areas and PercentilesAn Introduction to the Binomial DistributionConfidence Intervals for One Population VarianceDeriving the mean and variance of the least squares slope estimator in simple linear regressionInference for one mean: Worked examples and p-value interpretation | Full lecture (Intro Stats)Confidence Intervals for One Mean:  AssumptionsWhat I envision a virtual work meeting at D2L (Brightspace) to be like (jk, obv)Simple Linear Regression:  Always Plot Your Data!
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Z Tests for One Mean: Introduction

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