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  1. 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.

  2. 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.

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

    1. Public Stat100 Netmath website. Exam Study Guides, Data Program, p-value calculator and General Course Information are posted on the Public Course Website. https://stat100netmath.web.illinois.edu. 2. LON-CAPA site. All homework, surveys and bonus work are submitted and graded immediately on Lon Capa.

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

    You can still get 100% in this class without doing any bonus work. Bonus points are figured into your grade as follows: Suppose at the end of the semester you have a 75% average and you did 100% of the bonus work. So your grade would be raised from a 75% (C) to an 80% (B-).

  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. Stat 100 is one of the most popular and largest gen ed courses here at uiuc, and for good reason. It’s pretty easy, doesn’t take much time and has a great professor. But for some people, it’s a little too easy. You have to go to class (or watch video lectures) in order to take tests that frankly, you can do in your sleep.

  7. 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.

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