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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. Lincoln Hall Theater. Online Section O1: Asynchronous lecture videos on Canvas. No in-person locations.
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.
But what's most surprising is they actually like statistics! We are dedicated to helping students on the U of I campus learn and understand basic statistical concepts so they can understand and make sense of things that are interesting or important to them.
Statistics for Random Variables: expected value and standard error of chance processes, probability histograms and the Central Limit Theorem, developing simple chance models box models that more complicated sampling processes can be translated into, the Law of Averages, 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.
A: For a more advanced statistics course, we highly recommend taking Stat 200! 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.
Class Times for Spring 2023. 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: Online Section O1: Mon/Wed/Fri from 10:00AM-10:50AM. Lincoln Hall Theater. Asynchronous lecture videos on Canvas.
