Stat 200: Statistical Analysis

Overview

Statistics provides the tools to sort through data to make objective decisions. Stat 200 provides an accelerated introduction to the basic tools for quantitively oriented students, with particular emphasis on understanding which tools are appropriate for which problems. We cover experimental design (including basics of causal inference from observations), basic probability (both frequentist and Bayes), descriptive statistics, inference from samples (including null hypothesis significance tests), analysis of variance, multiple regression, logistic regression, and non-parametric methods. We include both an easy-to-use data analysis program and exercises in the R programming language.

For more details see http://courses.atlas.illinois.edu/fall2020/STAT200/

Syllabus

Stat 200 Syllabus

Prerequisites

Completion of or simultaneous registration in Calculus I is recommended. High school students interested in taking this course have to submit proof of satisfying this prerequisite at the time of registration.

Course Timeline

Stat 200 is 16 weeks long with no extensions. This is not a self-paced course, and there are fixed due dates for homework submissions and taking exams. Depending on the course registration date, each student is assigned to a cohort that starts on the third Sunday of the month. Your time in the course begins on the date indicated in your registration receipt. Upcoming cohort start dates are as follows: November 15, 2020; December 20, 2020; January 17, 2021; February 21, 2021. Note: Each cohort will run provided a minimum enrollment number is met. If a cohort is canceled for any reason, we will work with each registered student to provide appropriate options for future registrations.