This is an excellent video for introducing t -tests AND finally getting the story straight regarding William Gossett, Guinness Brewery, and why Gossett published under the famous Student pseudonym. What did I learn? Apparently, Gossett DID have Guinness' blessings to publish. Also, this story demonstrates statisticians working in Quality Assurance as the original t-tests were designed to determine the consistency in the hops used in the brewing process. Those jobs are still available in industry today. Credit goes to the RStats Institute at Missouri State University.  This group has created many other tutorial videos for statistics as well.

Jennifer Raff  is a geneticist, professor, and enthusiastic blogger . She  created a helpful guide for how non-scientists (like our students) can best approach and make sense of research articles. The original article is very detailed and explains how to make sense of experts. Personally, I appreciate that this guide is born out of trying to debate non-scientists about research. She wants everyone to benefit from science and make informed decisions based on research. I think that is great. I think this would be an excellent way to introduce your undergraduates to research articles in the classroom. I especially appreciated this summary of her steps (see below). This could be turned into a worksheet with ease. Note: I still think your students should chew on the full article before they are ready to answer these eleven questions. http://blogs.lse.ac.uk/impactofsocialsciences/2016/05/09/how-to-read-and-understand-a-scientific-paper-a-guide-for-non-scientists/#author ...

New York Magazine's  The Science of Us made a brief, funny video that investigates the long running issue of the dangers of double dipping.  It is based on a Scientific America report of an actual published research article  about double dipping. Yes, it includes the Seinfeld clip about George double dipping. The video provides a brief example of how to go about testing a research hypothesis by operationalizing a hypothesis, collecting, and analyzing data. Here, the abstract question is about how dirty it is to double dip. And they operationalized this question: Research design: The researchers used a design that, conceptually, demonstrates ANOVA logic (the original article contains an ANOVA, the video itself makes no mention of ANOVA). The factor is "Dips" and there are three levels of the factor: Before they double dipped, they took a base-line bacterial reading of each dip. Good science, that. They display the findings in table form (aga...