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STAT 200 Elementary Statistics

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  • Professor:
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    BrianGrim, ThomasDay, Li-JenLee, theodorecomstock, wood, theriano, steve oimoen, joseph, brian killough, karen friedman, Wayne Andrew, Joesph LaDelfa, Francois Vanol, Jing Gao, willhoite, Alexander Feinstein, Linda Barker, BRIAN JIMISON, martin rosman , Dr. Hector Valenzuela, Brian Grimm, tony kenda
  • Average Course Rating (from 10 Students)

    4.5/5
    Overall Rating Breakdown
    • 10 Advice
    • 5
      70%
    • 4
      10%
    • 3
      10%
    • 2
      10%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 20%

    • Medium 50%

    • Hard 30%

  • Top Course Tags

    Participation Counts

    Always Do the Reading

    Math-heavy

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    • Profile picture
    Oct 15, 2017
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Stat200 is usually required as a prerequisite to other classes which are required for a major. It helps build a strong foundation for analytics as life-skills and not just some abstract concepts.

    Course highlights:

    methods of sampling; percentiles; concepts of probability; probability distributions; normal, t-, and chi-square distributions; confidence intervals; hypothesis testing of one and two means; proportions; binomial experiments; sample size calculations; correlation; regression; and analysis of variance (ANOVA)

    Hours per week:

    9-11 hours

    Advice for students:

    Make sure you allow yourself enough time to actually read the material and complete the assignments. It is easier to stay ahead than to fall behind.

    • Fall 2016
    • Brian Grimm
    • Yes
    • Math-heavy Many Small Assignments Participation Counts
    • Profile picture
    Oct 15, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    He likes everything on time but, if you don't have the chance to completed, you can upload the homework at the homework revision and you will get 13/20. He give you a lot of resource to study on. .

    Course highlights:

    handle my time, other than stat200. :)

    Hours per week:

    12+ hours

    Advice for students:

    Need a lot of time, be careful choosing this class with other complicated.

    • Fall 2017
    • Dr. Hector Valenzuela
    • Yes
    • Profile picture
    Sep 11, 2017
    | Would highly recommend.

    This class was tough.

    Course Overview:

    It's definitely challenging, but he grades fairly and wants students to succeed.

    Course highlights:

    Measurement scales, graphs, measures of spread, correlation, tests of inference such as chi-square and analysis of variance.

    Hours per week:

    6-8 hours

    Advice for students:

    You will need to find good statistics resources outside of what is given in class to truly get it. Use YouTube or other statistics websites.

    • Fall 2016
    • Alexander Feinstein
    • Yes
    • Math-heavy Always Do the Reading Participation Counts


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