OOMPH Stat
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
Course:
PBHLTH W142: Introduction to Probability and Biostatistics for Biology and Public Health
School of Public Health
University of California, Berkeley
Author:
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
Tabs:
Normal Distribution (pnorm, qnorm, dnorm)
t-distribution (pt, qt, dt)
Chi-Squared Distribution (pchisq, qchisq, dchisq)
Central Limit Theorem
Email:
xander@berkeley.edu
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: https://xandersph.shinyapps.io/OOMPHstat/
Repo: GitHub - posnerab/OOMPHstat: Stats shiny apps
RStudio Cloud: Posit Cloud
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