STAT 51200
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STAT 51200 Applied Regression Analysis

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  • Professor:
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    BOLI, BoLi(P), BoweiXi, KristoferJennings, Chong Gu, LeonoreA.Findsen, DabaoZhang, MichaelLevine, WalidKSharabati
  • Average Course Rating (from 1 Student)

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    Background Knowledge Expected

    Go to Office Hours

    Many Small Assignments

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    • Profile picture
    Sep 04, 2017
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    I would recommmend this course to anyone looking to get a minor in statistics as it builds upon all of the concepts taught in previous stat courses and really reinforces the processes needed in a higher level or even a professional setting.

    Course highlights:

    This course was very well laid out. Prof. Sharabati was very thorough in his explanations and gives students all the resources they should need to succeed. These resources include many examples, recorded lectures, lecture notes, and technical help with using the SAS software required by the course. This course will teach you to use SAS to do statistical analysis as well as solving problems by hand.

    Hours per week:

    6-8 hours

    Advice for students:

    For students looking to take this class I would advise you to make sure to study the concepts themselves and not just the applications. Know the theory behind what you're doing, as it will be imparitive to know on the exams. Listening to lectures and taking good notes will also help you to gain a good fundamental knowledge which you will need on the exams. If you begin to fall behind, go to office hours early and often to address these concerns.

    • Summer 2017
    • WalidKSharabati
    • Background Knowledge Expected Go to Office Hours Many Small Assignments

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