C.R.O.A.K. Lab

Websites

• The (OER) book I use for my stats class
• How to do everything we cover in my undergrad stats class in R
• A small tutorial I co-wrote with a student about BOOTSTRAPPING!
• Statistics by Jim – Clear, accessible stats tutorials.
• Statistics How To – Step-by-step guides for many concepts.

Videos & YouTube Channels

• StatQuest with Josh Starmer – Excellent stats explanations.
• CrashCourse Statistics – Entertaining and concise lessons.

Web Apps

• Dissin' Around – This app helps vizualize the probability density associated with various outcomes on the binomial, normal and t-distributions. Users can choose which distribution to 'diss around' with, mess with the parameters of these distributions, toggle between 1-tailed and 2-tailed intervals, and much much more!
• Power Tripper – This app creates simulations of sampling processes, either with two sample means or with sample correlations. Users can select the population means, standard deviations, and sample sizes and compare the typical effect size that results from 500 random samples from these parameters, view the 95% most common parameter estimates, and to basic power analyses! Ditto with correlation coefficients.

Workshops & Courses

Recommended Books

• “Statistics Done Wrong” by Alex Reinhart – Common pitfalls and how to avoid them.
• “Discovering Statistics Using R” by Andy Field – A classic for social sciences.