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  1. Every bonus point earned helps your overall grade, but even if you do no bonus work, you can still get 100% for the course. In other words, bonus points can only help you. Bonus points are extra credit.

  2. Course Info Statistics 100 (Stat 100), 3 credit hours Meets the Quantitative Reasoning I general education requirement Instructor Contact Information L1 (In-Person) & ONL (Online) Instructor: Karle Flanagan Email: stat100@illinois.edu Course Webpages 1. Main Public Website https://stat100.stat.illinois.edu/ -- You can also google "stat 100 ...

  3. 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. Having real questions that we want to answer motivates real understanding, not just memorizing some complicated rules.

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

    In Person Section L1: Mon/Wed/Fri 10:00am-10:50am -- 101 Armory In Person Section L2: Tues/Thurs 11:00am-12:20pm -- Lincoln Hall Theater Online Section KF: No assigned meeting times. Watch lecture videos on Compass. Online people are welcome to attend class. Office Hours. STAT 100 Office Hours in 23 Illini Hall: Mon, Tues, Wed, Thurs, & Fri ...

  5. 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.

  6. 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. 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.