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STAT 100 Syllabus Spring 2023 . Read The Syllabus. Instructor Contact Information. L2 (In-Person) & O1 (Online) Instructor: Karle Flanagan Email: stat100@illinois.edu; Course Webpages. Main Public Website go.illinois.edu/stat100 – You can also google “stat 100” :) LON-CAPA Site
In Stat 100, we use statistics to research a topic we're all interested in - ourselves. We collect data on ourselves through anonymous surveys, largely on the sort of social questions on which students have shown intense interest.
Course Outline. Study Design: observational studies vs. randomized experiments, why randomized controls are key, confounders in observational studies, Simpson’s Paradox, intent to treat analysis, etc. Descriptive Statistics: mean, median, SD, histograms, box plots, normal curve, etc.
STAT 100 Statistics credit: 3 Hours. First course in probability and statistics at a precalculus level; emphasizes basic concepts, including descriptive statistics, elementary probability, estimation, and hypothesis testing in both nonparametric and normal models.
Statistical computing using a statistical package such as R or a spreadsheet. Topics to be covered include data summary and visualization, study design, elementary probability, categorical data, comparative experiments, multiple linear regression, analysis of variance, statistical inferences and model diagnostics.
This class starts with a quick review of Stat 100 material and then moves on to talk about things like hypothesis testing, power, multiple regression, ANOVA, etc. Like Stat 100, it uses a partially completed notebook that you fill in during class.
StudyGuide. Final Exam Format. The final is comprehensive and all multiple-choice (Scantron graded). ***Warning*** This study guide does not cover box plots. There WILL be some on the final! Please study accordingly. You can practice box plots by doing the practice homework on box plots.
