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  1. This notebook is the only thing that’s required to purchase for Stat 100! You will use this notebook each week during class! Required Calculator: You’ll also need a calculator for exams. Any calculator that can do basic operations and square roots will be fine. I recommend this one!

  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. 23 sie 2024 · The full list of free software for students at the UIUC Webstore can be found on the Free Software page. This can also be found by going to the Featured Personal Purchase Products page link, then selecting the "Free Software" title.

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

    Course Webpage. https://go.illinois.edu/stat100. You can also google “stat 100” :) Course Materials. Required Workbook: Stat 100 Incomplete Lecture Notes Workbook. Either the Fall 2019 OR Spring 2020 edition by Ellen Fireman, Karle Flanagan, and John Marden. Available at the Illini Union Bookstore for $35.

  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. 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.

  7. Courses. 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.