Confidence Intervals for One Mean:  Investigating the Normality Assumption @jbstatistics
Confidence Intervals for One Mean:  Investigating the Normality Assumption  @jbstatistics
Uploaded May 2013 | Updated September 2026, 2 hours ago
A discussion of the assumptions when using the t procedure to construct a confidence interval for the population mean mu. The assumptions are discussed, and the effect of different violations of the normality assumption is investigated through simulation.
Confidence 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)The Sampling Distribution of the Sample MeanUsing the t Table to Find Areas and Percentiles
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Confidence Intervals for One Mean: Investigating the Normality Assumption

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