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  1. Karle and the Stat 100 CAs will be there to answer any questions you may have about the course, assignments, or anything you need. If you are unavailable during these times and want to meet, send us an email at stat100@illinois.edu and we will set up a time!

  2. 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.

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

    See the University Student Code of Conduct. The Stat 100 Team has a group of highly trained students 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.

  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. 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.

  6. 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.

  7. 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.

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