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MATH 125 s

  • Average Course Rating (from 7 Students)

    4.0/5
    Overall Rating Breakdown
    • 7 Advice
    • 5
      57%
    • 4
      29%
    • 3
      0%
    • 2
      0%
    • 1
      14%
  • Course Difficulty Rating

    • Easy 14%

    • Medium 57%

    • Hard 29%

  • Top Course Tags

    Math-heavy

    Background Knowledge Expected

    Go to Office Hours

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    • Profile picture
    Aug 12, 2017
    | Would highly recommend.

    Pretty easy, overall.

    Course Overview:

    Statistics can be a difficult subject to many. I found that the atmosphere of the class was relaxed throughout the semester. I believe that when a student is in a calm head space he can learn more effectively.

    Course highlights:

    Intersting material which applied to the daily life.

    Hours per week:

    6-8 hours

    Advice for students:

    Invest time out of class. Math concepts take time to sink in, and be able to apply when solving a problem.

    • Summer 2017
    • kerr
    • Yes
    • Go to Office Hours Participation Counts Meetings Outside of Class
    • Profile picture
    Jun 02, 2017
    | Would not recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Very difficult course. Must Stay on track to have a good grade.

    Course highlights:

    There really was not highlight my teacher was very rude.

    Hours per week:

    0-2 hours

    Advice for students:

    go to ratemyprofessor.com and take full advantage of what students say about the teachers because they can be correct.

    • Spring 2016
    • OlgaRuiz
    • Yes
    • Profile picture
    Dec 11, 2016
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    I would recommend this course because this course thought me a lot ways that I can handle my financial status in the future also I got to learn new formulas. This course teaches about interpretations and applications of techniques using descriptive and inferential statistics.

    Course highlights:

    I leaned about frequency distributions, histograms, and measures of central tendency, measures of dispersion, and measures of position, probability concepts, the binomial distribution, the normal distribution, confidence intervals, hypothesis testing, and an introduction to correlation

    Hours per week:

    12+ hours

    Advice for students:

    keep your notes(always review) , always quiz yourself, and have all your homework done on time.

    • Summer 2016
    • Mr.J
    • Yes
    • Background Knowledge Expected Great Intro to the Subject Great Discussions


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