Bayesian statistics -- Lecture 5 -- Bayesian t-tests

Bayesian statistics -- Lecture 5 -- Bayesian t-tests
In this video, we walk through the basics of the Bayesian t-test, paying particular attention to the default Cauchy prior and where it comes from. Then I demonstrate a full Bayesian analysis of a t-test in JASP. Along the way, I provide a template for writing the results from the output given in JASP.
Some links:
- the R code I used for the plots in the video: github.com/tom...
- the original Rouder et al. (2009) paper developing the Bayesian t-test used in JASP: doi.org/10.375...
Course:
PSYC 4390/5090: Bayesian Statistics
Dr. Tom Faulkenberry (Tarleton State University)

[@chillwithmycats1718]

Infinitely thankful you've uploaded these lectures on youtube! I've gone through most of your bayesian videos, and they've made me more comfortable using bayesian analysis for my projects.

[@tesete6138]

I love the way the results were reported!

[@niceday2015]

Thank you very much for your very attractive and informative lecture.

[@tesete6138]

This is a wonderful lecture on using the Bayesian framework for one sample t-test. Thank you very much. I wonder if the subsequent classes are also posted.

[@icy-spoon85]

Thanks for these! Any plans to release the regression & ANOVA videos?