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ADMS 2320 QUANTITIVE METHODS 1

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    ROCHON, HENRY, GLORIAO'KEEFE, BARTELL, ---, SHAMIMABDULLA, PEGGY, ImaraHamid, RHUANG, Nursel, none, kim, Iamnotsure, DSA, COHEN, Elena, all, Various, PESTANO, Irvin, YogendraAcharya, ElenaSkilarenko, Yogi, MichaelRochon, YogiAcharya, Dr.HassanQudrat-Ullah, MichealRochon, abdullah, YanYanWu, MalcolmMacTaggart, Russian, michaelh, Rongbinghuang, IRVINPESTANO, Kadir, Kader, CarlChing, hilacohen, Shadab Qaiser , henry bartel, hussain, Syed Harris Ali, ShamimAbdullah, petertsasis, Tory, Colen, Yi Luo
  • Average Course Rating (from 4 Students)

    3.5/5
    Overall Rating Breakdown
    • 4 Advice
    • 5
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    • 4
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    • 3
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    • 2
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    • 1
      0%
  • Course Difficulty Rating

    • Easy 0%

    • Medium 50%

    • Hard 50%

  • Top Course Tags

    Great Intro to the Subject

    Always Do the Reading

    Math-heavy

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    • Profile picture
    Jul 28, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    This course helps understand the basic math applied in our daily lives.

    Course highlights:

    I learnt a lot of math concepts and how it is applied in the real world. For example, different types of probability, mean, median, mode, different types of numbers (nominal, ordinary, etc), z-scores, t-scores, F-tests, Chi-square tests, and the basics of coefficient of determination, lines, relations.

    Hours per week:

    3-5 hours

    Advice for students:

    Do not miss any classes. Put in time to understand to questions before answering them.

    • Summer 2017
    • MichealRochon
    • Yes
    • Math-heavy Great Intro to the Subject Always Do the Reading
    • Profile picture
    Jun 16, 2017
    | Probably wouldn’t recommend.

    This class was tough.

    Course Overview:

    This is a very difficult course, no matter who you take it with

    Course highlights:

    learned a lot of practical techniques for applying statistics in work related applications

    Hours per week:

    9-11 hours

    Advice for students:

    Read chapters ahead of lectures so you understand what is being said in class

    • Summer 2017
    • Yi Luo
    • Yes
    • Math-heavy Great Intro to the Subject Always Do the Reading
    • Profile picture
    Sep 12, 2016
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    This course is a great intro to statistics.

    Course highlights:

    Practical problems are analyzed with quantitative methods (probability, estimation, regression).

    Hours per week:

    3-5 hours

    Advice for students:

    Practice questions on a weekly basis.

    • Fall 2015
    • ROCHON
    • Yes
    • Math-heavy Great Intro to the Subject Participation Counts

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