Resource Library

A cartoon to be used in discussing the properties and caveats of ANOVA. The cartoon is #905 in the web comic Piled Higher and Deeper by Panamanian cartoonist Jorge Cham (1976- ): see www.phdcomics.com/comics/archive.php?comicid=905. Free for use in classrooms and course websites with acknowledgement (i.e. "Piled Higher and Deeper" by Jorge Cham, www.phdcomics.com)

A quote that might be used in a discussion of why uncertainty is greatest when the probability of success is close to 50% (and also amenable to more study). The quote is by American author and Professor of Psychiatry Judith M Bardwick (1933 - ) from her book Danger in the Comfort Zone (1995). The quote may also be found at www.quotationsbywomen.com

The Comprehensive Epidemiologic Data Resource is a collection of data sets. It includes definitions of each variable in the data set. It requires a login to retrieve the data sets. Registering involves giving your name and address and the name of the study and a detailed description of the intended use of the data.

A cartoon to illustrate the idea that the standard 5% significance level is an arbitrary cut-off. The cartoon was used in the February, 2017 CAUSE cartoon caption contest and the winning caption was submitted by Mickey Dunlap from University of Georgia. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea from Dennis Pearl from Penn State University.

A cartoon to help students learn not to "accept" the null hypothesis. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea in 2016 from Dennis Pearl from Penn State University.

A quote to use in discussions of the value of meta-analyses. The quote is by American Biostatistician Olive Dunn (1915-2008) from chapter 1 of her 1977 textbook Basic Statistics: A Primer for the Biomedical Sciences. Note that one aspect of meta-analysis is the selection and weighting of different studies to be included in the overall analysis. Thus, this quote might be most relevant to stimulate a discussion of that aspect.

A quote that can be used in discussing how data are more convincing to people if they align with current beliefs. The quote is by American mathematician Mary Gray (1938 - ) and comes from the title of her 1993 (v. 8, page 144) Statistical Science "Can Statistics Tell Us What We Do Not Want to Hear? The Case of Complex Salary Structures." The paper, the commentaries on the paper, and Dr. Gray’s rejoinder to the commentaries include discussions of many statistical issues and is very approachable for undergraduate students.

A quote to initiate discussions of model building By British Statistician and Epidemiologist Hilda Mary Woods (1892-1971). The quote is from her paper "The influence of external factors on the mortality from pneumonia in childhood and later adult life" in the Journal of Hygiene 1927 pages 36-43 (quote is on page 42).

What is correct, what is incorrect, and why?

This is an e-book tutorial for R. It is organized according to the topics usually taught in an Introductory Statistics course. Topics include: Qualitative Data; Quantitative Data; Numerical Measures; Probability Distributions; Interval Estimation; Hypothesis Testing; Type II Error; Inference about Two Populations; Goodness of Fit; Analysis of Variance; Non-parametric methods; Linear Regression; and Logistic Regression.