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  1. Course Materials. Required Workbook: Stat 100 Incomplete Lecture Notes Workbook by Ellen Fireman, Karle Flanagan, and John Marden. Please make sure to get the teal Fall 2022 version Published by Stipes J. Available at the Illini Union Bookstore for $35 or buy online at Stipes.

  2. Course Materials. Required Workbook: Stat 100 Incomplete Lecture Notes Workbook by Ellen Fireman, Karle Flanagan, and John Marden. Please make sure to get the navy blue Spring 2023 version Published by Stipes. Available at the Illini Union Bookstore for $35 or online at Stipes. This notebook is the only thing that’s required to purchase for ...

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

    STAT 100 Syllabus Spring 2020 (View PDF) Instructor Contact Information. L2 (In-Person) & KF (Online) Instructor: Karle Flanagan. Email: stat100flanagan@gmail.com. L1 (In-Person) Instructor: Kelly Findley. Email: kfindley@illinois.edu. Course Webpage. https://go.illinois.edu/stat100. You can also google “stat 100” :) Course Materials.

  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

    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.

  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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