Confidence Intervals for One Mean:  Assumptions @jbstatistics
Confidence Intervals for One Mean:  Assumptions  @jbstatistics
Uploaded February 2012 | Updated September 2026, 2 hours ago
A look at the consequences of the violation of the normality assumption, when using the one-sample t procedures to draw inferences about the population mean mu.
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!Poisson or Not?  (When does a random variable have a Poisson distribution?)Introduction to the Multinomial DistributionUsing the t Table to Find the P-value in One-Sample t TestsAn Introduction to Hypothesis TestingAn Introduction to Paired-Difference ProceduresInference for One Variance: An Example of a Confidence Interval and a Hypothesis TestYou sir, are no normal distributionInference for Two Variances: An Example of a Confidence Interval and a Hypothesis TestHypothesis Tests on One Mean:  t or z?
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Confidence Intervals for One Mean: Assumptions

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