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  1. Class Times for Fall 2022. All students are either enrolled in the in person section of Stat 100 OR the online version. Details are found here: In Person Section L1: Mon/Wed/Fri from 12:00PM-12:50PM. Lincoln Hall Theater. Online Section ONL: Asynchronous lecture videos on Canvas.

  2. 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.

  3. karleflanagan.github.io › stat100S20 › pagesSTAT 100 - GitHub Pages

    Course Materials. Required Workbook: Stat 100 Incomplete Lecture Notes Workbook. Either the Fall 2019 OR Spring 2020 edition by Ellen Fireman, Karle Flanagan, and John Marden. Available at the Illini Union Bookstore for $35. We will fill out this notebook together in class for extra credit.

  4. 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.

  5. stat100website.web.illinois.eduSTAT 100

    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.

  6. stat100netmath.web.illinois.edu › syllabusStat 100 NetMath Syllabus

    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.

  7. 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.

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