JSM 2020 Takeaways

With the 2020 Joint Statistical Meetings in the rear view mirror and the fall semester under way, we wanted to take some time to reflect on our first virtual conference of this scale. While we were pleased to see the progress in the field of statistics education, we left feeling a little disappointed in the... Continue Reading →

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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