StatQuest Workshop Overview

Course description

Welcome to StatQuest! This course will cover the fundamental descriptive statistics (frequencies, central tendencies, and variability of data) and inferential statistics (t-test and ANOVA*) students will encounter in different fields of research. Students of this course will be introduced to an open-source statistical program to analyze and interpret quantitative data (R).

Workshop Format

Online, [December 15 - 17] 1 pm, to 3 pm.
Zoom Link: [https://arizona.zoom.us/j/85725300515]. If you would like to sign up for the survey or workshop, please press this link [https://uarizona.co1.qualtrics.com/jfe/form/SV_25FhRK3lFq3HQX4].

Learning Outcomes

By the end of this course, students will:

• Describe fundamental concepts in research design and basic statistical techniques used in quantitative research.

• Apply statistical methods using R to organize, analyze, and interpret quantitative data from sample research scenarios.

• Create clear and effective data visualizations and research summaries that communicate key findings using R and best practices for reporting.

Recommended Readings:

• [Descriptive Statistics] Antoine Soetewey. Descriptive Statistics in R. Blog 2020.

See the UArizona Libraries loaner technology if you need a loaner laptop.

Funding

University of Arizona Provost Investment Fund 2024-2026, PI: Dr. Katherine Cheng and Co-I: Megan Hokama

GPSC Research and Project Grant, Megan Hokama