Statistics Distribution Visualizer - 2020 Shiny Contest Submission


Authors: Xander Posner
Working with Shiny < 1 year

Abstract: Visualize statistical testing concepts. View the shaded area under Normal, t, and chi-squared distribution curves for a given test statistic. Visualize pnorm/pt/pchisq, qnorm/qt/qchisq, and dnorm/dt/dchisq R functions. Visualize Central Limit Theorem concepts using shape and skewness of various distributions.

Full Description: "OOMPH Stat" Statistics Visualizer

PBHLTH W142: Introduction to Probability and Biostatistics for Biology and Public Health
School of Public Health
University of California, Berkeley

Xander Posner, M.P.H. 2020
Epidemiology & Biostatistics
Graduate Student Instructor
Instructional Designer
Online/On-Campus MPH Program (OOMPH)
UC Berkeley School of Public Health

Normal Distribution (pnorm, qnorm, dnorm)
t-distribution (pt, qt, dt)
Chi-Squared Distribution (pchisq, qchisq, dchisq)
Central Limit Theorem


This Shiny app was made in RStudio

Source Code on Github:

Copyright © 2020 The Author

Category: Education
Keywords: statistics, biostatistics, stats, biostats, epi, normal distribution, t distribution, chi-squared distribution, central limit theorem
Shiny app:
Repo: GitHub - posnerab/OOMPHstat: Stats shiny apps
RStudio Cloud: Posit Cloud


Full image: