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  1. At the end of the semester, take your total bonus points (capped at 100) and divide them by 20. This will be how many percentage points get added to your grade! For example, if you have all 100 bonus points, you’d take 100 and divide it by 20 to get 5.

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

    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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

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