Visual Inference: Using Sesame Street Logic to Introduce Key Statistical Ideas

As outlined by Cobb (2007), most introductory statistics books teach classical hypothesis tests as formulating null and alternative hypotheses, calculating a test statistic from the observed data, comparing the test statistic to a reference (null) distribution, and deriving a p-value on which a conclusion is based. This is still true for the first course, even after the 2016... Continue Reading →

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