Introduction to Basic Statistics in R (2-part series; Winter 2021)

Feb. 11, 2021, 10 a.m. - Feb. 11, 2021, noon

Organizer -

DataLab: Data Science and Informatics

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Location -

Zoom links will be sent to the learner's email address as listed on their registration.


This workshop explores basic, practical applied statistics using the R statistical programming language. On the first day we’ll focus on common procedures like assessing the distribution of your data and calculating differences between groups. In the second day we’ll focus on common linear models (linear regression, ANOVA, etc.) in R. We will also calculate the power of a simple study. This workshop is appropriate for learners with various data types, but will most emphasize continuous numerical data.

This is a 2-part workshop and learners are expected to attend both sessions (February 11 and February 18, 10am-noon).

By the end of this 2-part workshop, learners should be able to:

•Calculate sample summaries and estimate population parameters

•Work with distributions: generate random numbers, calculate quantiles and p-values

•Calculate confidence intervals

•Bootstrap statistics

•Compare data from two or more different groups

•Estimate and interpret linear models

•Identify common violations of regression assumptions

•Power calculations



Learners should be proficient at using R and have the latest versions of R, RStudio, and Zoom installed on their computers.

Registration closes on: Feb. 11, 2021