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MATH 125 s

  • Average Course Rating (from 5 Students)

    4.5/5
    Overall Rating Breakdown
    • 5 Advice
    • 5
      60%
    • 4
      40%
    • 3
      0%
    • 2
      0%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 0%

    • Medium 60%

    • Hard 40%

  • Top Course Tags

    Math-heavy

    Background Knowledge Expected

    Great Discussions

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    • 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
    • Profile picture
    Aug 31, 2016
    | Would highly recommend.

    This class was tough.

    Course Overview:

    Lovely individual learn the best you can

    Course highlights:

    Learning in detail about statistics

    Hours per week:

    6-8 hours

    Advice for students:

    Always do your homework don't fall behind

    • Spring 2016
    • Mofak Hassan
    • Math-heavy Many Small Assignments Participation Counts
    • Profile picture
    Jul 20, 2016
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    The professor taught the course very well. He used very easy example to follow when teaching. The course resources were valuable in addition to what the professor offered during lecture. Assignment problems were the same or very similar to exam problems.

    Course highlights:

    This course made it very easy to understand how to apply quantitative data into statistical data.

    Hours per week:

    3-5 hours

    Advice for students:

    My advice to students taking this course would be to give your full attention to the lecture and complete the assignments during class when permitted or shortly after so that the information can be reinforced.

    • Fall 2010
    • Atsbaha
    • Yes
    • Math-heavy Background Knowledge Expected Many Small Assignments


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