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EDR 7101 Introduction to Statistics

  • School:
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  • Professor:
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    Dr. Reynold, Dr. Thomas Kinsley, Dr. Lisa Mathews, Goodwin
  • Average Course Rating (from 4 Students)

    3.5/5
    Overall Rating Breakdown
    • 4 Advice
    • 5
      25%
    • 4
      25%
    • 3
      25%
    • 2
      25%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 0%

    • Medium 0%

    • Hard 100%

  • Top Course Tags

    Math-heavy

    Always Do the Reading

    Background Knowledge Expected

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    • Profile picture
    Sep 12, 2017
    | Would recommend.

    This class was tough.

    Course Overview:

    Really prepares you for statistical analysis of the research that you plan to conduct

    Course highlights:

    I learned how to correctly use statistics within my research.

    Hours per week:

    9-11 hours

    Advice for students:

    Study daily for this course! Take you time to answer questions thoroughly,

    • Summer 2017
    • Goodwin
    • Yes
    • Profile picture
    Jun 04, 2017
    | Probably wouldn’t recommend.

    This class was tough.

    Course Overview:

    This is a very intense course. Due to hurricanes, frustration and other matters I have dropped it three times. Read Read Read and forget a life during this course it is brutal.

    Course highlights:

    Read ask questions and only take this course

    Hours per week:

    12+ hours

    Advice for students:

    Only take it if needed for graduation

    • Spring 2017
    • Dr. Reynold
    • Yes
    • Math-heavy Background Knowledge Expected Always Do the Reading
    • Profile picture
    Apr 16, 2017
    | No strong feelings either way.

    This class was tough.

    Course Overview:

    This is a difficult course if you are not a statistics guru, filled with mathematical formula and extensive homework each of the 12 weeks. Course Hero can aid you immensely in knowing if you are headed in the right direction in your work, but you will still need to dig deep in your mathematics and scientific skill sets to be successful.

    Course highlights:

    SPSS is a great, though in-depth tool. Understanding and using this tool can save you hours and hours of calculations and graphing. Use the video's on the internet to gain a deeper understanding of specific processes in the course.

    Hours per week:

    9-11 hours

    Advice for students:

    Ensure you fully understanding algebra and deeper mathematics, as well as scientific research notation. If you can, get a separate course on SPSS, or use the IBM tutorials available online to gain a good understanding of how to use the tool and its very different parts for success.

    • Spring 2017
    • Dr. Lisa Mathews
    • Yes
    • Math-heavy Background Knowledge Expected Requires Lots of Research

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