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STA 2023 Statistical Methods

  • School:
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  • Professor:
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    ChuckLindsey, Abdul-BaasitShaibu, AnthonyJ.Feduccia, CharlesE.Lindsey, southerd, ThomasW.Hair, Robert Nichols, Swanson, Bluemenstein. P., Larry Southard, Leigh White, Patricia Blumenfeld
  • Average Course Rating (from 10 Students)

    4.1/5
    Overall Rating Breakdown
    • 10 Advice
    • 5
      60%
    • 4
      20%
    • 3
      10%
    • 2
      0%
    • 1
      10%
  • Course Difficulty Rating

    • Easy 10%

    • Medium 60%

    • Hard 30%

  • Top Course Tags

    Math-heavy

    Many Small Assignments

    Great Intro to the Subject

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    • Profile picture
    Oct 02, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Prof. Blumenfeld is a one of a kind person. She truly cares about her students and their education.

    Course highlights:

    The highlights of this course were the methods in which Prof. Blumenfeld taught her class.

    Hours per week:

    9-11 hours

    Advice for students:

    Time management is a must. There is a lot of homework and students cannot afford to stay behind.

    • Spring 2017
    • Patricia Blumenfeld
    • Yes
    • Math-heavy Many Small Assignments Participation Counts
    • Profile picture
    Aug 13, 2017
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Funny guy, lots of self-teaching, easy grader, tend to get off topic at times

    Course highlights:

    I loved how easy going he was, his tests were straight forward

    Hours per week:

    3-5 hours

    Advice for students:

    Do the homework, that is what makes or break you. Averaged an A on my tests but ended with a B because I forgot the homework.

    • Winter 2017
    • Larry Southard
    • Yes
    • Math-heavy Always Do the Reading Many Small Assignments
    • Profile picture
    Apr 05, 2017
    | Would highly recommend.

    Pretty easy, overall.

    Course Overview:

    It was a very easy course. The power points were straightforward and easy to read, there was a minimal amount of homework, and the professor stuck to the syllabus. As long as you have a functioning calculator, printing capabilities, and the online textbook, this is an easy A.

    Course highlights:

    I learned more about basic descriptive statistics, and I learned about several types of hypothesis testing.

    Hours per week:

    3-5 hours

    Advice for students:

    Try not to wait til the last minute to do homework. Study groups are always a good idea. Feel free to ask the professor questions.

    • Fall 2016
    • Leigh White
    • Yes
    • Great Intro to the Subject Many Small Assignments

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