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  1. STAT 100 Office Hours will be offered each week Monday, Tuesday, Wednesday, Thursday, Friday from 2pm-5pm in the Computer Applications Building (CAB). The room number is 171 and CAB is on 6th and Springfield. Office hours start Week 2 :) We also have online office hours Monday and Wednesday evenings from 8-10pm on zoom!

  2. 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.

  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. 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.

  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.