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All students are either enrolled in the in person section of Stat 100 OR the online version. Details are found here: In Person Section L2: Mon/Wed/Fri from 10:00AM-10:50AM.
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.
The Stat 100 Team has a group of highly trained graders who know every trick in the book for catching cheaters. We hand grade each of the exams and have multiple versions of all exams. They may look identical at first glance, but they are not.
Course Materials. Required Workbook: Stat 100 Incomplete Lecture Notes Workbook by Ellen Fireman, Karle Flanagan, and John Marden. You will fill out this notebook while watching the lectures or lecture videos for extra credit.
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 Description: 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.
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.
