By Rebecca Pierce, Ball State University, and Matthew Brenneman, Embry Riddle Aeronautical University The goal of the GAISE: Pre-K–12 Report is statistical literacy for all. But statistical literacy is not achievable unless students understand why they personally need to learn statistics. One could cite high-paying jobs in data science as a motivation, but this pertains to … [Read more...] about A Guided Lesson on Fake News for Improving Statistical Literacy
p-value
Lesson Plan: If You Only Have One Hour … Teaching Statistical Inference to Youth
By Beth Chance, Elsa Medina, and Jacquelyn Silverbush, Cal Poly, San Luis Obispo Statistical inference is the science of drawing conclusions beyond observed sample data to a larger population or process. In a college statistics course, students learn about probability, confidence intervals, and p-values and apply these ideas to research studies. The article “Assessment of … [Read more...] about Lesson Plan: If You Only Have One Hour … Teaching Statistical Inference to Youth
Model t, or a Newer Randomization?
By Sean Bradley, Clarke University Anyone who loves math appreciates a good mathematical model. There is no shortage of useful workhorses in statistics–normal, t, F, and chi-square distributions come quickly to mind. Mathematicians and statisticians of yesteryear developed these beautiful models to overcome the inability to use brute force methods to answer statistical … [Read more...] about Model t, or a Newer Randomization?
Double Stuffed?
By Allison Dorko … [Read more...] about Double Stuffed?
Why 0.05? Two Examples That Put Students in the Role of Decision-Maker
By Leah Dorazio Any teacher of introductory statistics has heard this question more times than they can remember: “Why 0.05?” Here, the value 0.05 refers to the significance level in a hypothesis test. A nice overview of hypothesis tests is described in the Fall/Winter 2015 issue of STN. In this article, I provide a brief review of the concepts of hypothesis test and … [Read more...] about Why 0.05? Two Examples That Put Students in the Role of Decision-Maker
Editors’ Note: Winter
Welcome back to school! It’s so much fun to see photos and hear of back-to-school stories, which seem to take place from July through the end of September in the United States. I hope this edition of Statistics Teacher finds you well, back in the groove of your classroom, and that it contributes to your statistical teaching this year. The first article is by Matt Teachout, a … [Read more...] about Editors’ Note: Winter