Adapting Statistics Instruction for an Online Environment in the Wake of COVID-19

The world is currently experiencing unprecedented forced movement from face-to-face interaction to a completely virtual form of interaction. Higher education institutions have quickly made sweeping policy decisions that have, overnight, overhauled the classroom learning environment. These decisions have resulted in many people questioning the kinds of quality that can be expected—especially from instructors who have... 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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