STATISTICS 102
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STATISTICS 102 intro statistics

  • Average Course Rating (from 3 Students)

    4.7/5
    Overall Rating Breakdown
    • 3 Advice
    • 5
      67%
    • 4
      33%
    • 3
      0%
    • 2
      0%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 33%

    • Medium 67%

    • Hard 0%

  • Top Course Tags

    Great Intro to the Subject

    Math-heavy

    Participation Counts

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    • Profile picture
    Jun 21, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    it is good class as statistics is used almost everywhere in life to understand things better

    Course highlights:

    i had learn probability,understanding graphs, how we get but data into statistics and draw information from them

    Hours per week:

    6-8 hours

    Advice for students:

    complete homework immediately after class concentrate well what's going on class, don't hesitate to ask questions

    • Summer 2017
    • Joseph Quartararo
    • Yes
    • Math-heavy Great Intro to the Subject Great Discussions
    • Profile picture
    May 23, 2016
    | Would highly recommend.

    Pretty easy, overall.

    Course Overview:

    I've heard about him from my neighbor as well as my relative, she happened to take this course from TBA

    Course highlights:

    Starting from zero background of Statistics, I went to do data analysis, medians, data handling and so on.

    Hours per week:

    3-5 hours

    Advice for students:

    Do take this course from TBA, you won't find any better than this.

    • Spring 2016
    • TBA
    • Great Intro to the Subject Many Small Assignments Participation Counts
    • Profile picture
    Apr 27, 2016
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    I recommend this course because, if you transfer to another college or attend advanced classes, this course is usually a prerequisite.

    Course highlights:

    Accomplishing the assignments and really getting to understand configurations.

    Hours per week:

    0-2 hours

    Advice for students:

    The students considering taking this course need to really study about correlation and linear regression.

    • Spring 2016
    • William Quattrom
    • Yes
    • Math-heavy Always Do the Reading Participation Counts

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