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STA 2023 Statistics

  • School:
    *
  • Professor:
    {[ professorsList ]}
    PatriciaToohey, Richardson, Professor Isoph, contreras, rosenthal, Jay Domnitch, Mary Swigert, Carter, PICK,JOSEPH, barad, michael, SIASSI,TONY, Gregory Maxwell, davis benjamin, George Jahn, Ira Rosenthal, jacqueline jacobson
  • Average Course Rating (from 20 Students)

    4.6/5
    Overall Rating Breakdown
    • 20 Advice
    • 5
      75%
    • 4
      15%
    • 3
      10%
    • 2
      0%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 10%

    • Medium 55%

    • Hard 35%

  • Top Course Tags

    Math-heavy

    Great Intro to the Subject

    Many Small Assignments

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    • Profile picture
    Aug 11, 2017
    | Would highly recommend.

    Pretty easy, overall.

    Course Overview:

    I've had several mathematics & related courses and this instructor is the BEST! She doesn't mind questions and she actually answers them! I'm taking her for calc next term!

    Course highlights:

    That statistics isn't half as boring as people say! I enjoyed the exercises, particularly choosing various hot topics or our favorite issues to research and reveal the stats.

    Hours per week:

    3-5 hours

    Advice for students:

    Don't listen to stereotypes and enjoy it! It's a great class, informative, fun, great teacher and, if you show up and do the work, it's a cinch!

    • Winter 2017
    • Ira Rosenthal
    • Great Intro to the Subject Group Projects Great Discussions
    • Profile picture
    Jul 06, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    I would recommend this course because statistics is different than any other math course and there are many interesting things you can learn to do with your calculator through taking this statistics course.

    Course highlights:

    I learned how to find the margin of error in a given situation with percentages. I also learned an easy way to find the number of combinations possible in a given problem.

    Hours per week:

    6-8 hours

    Advice for students:

    Practice. I always took practice problems from the book and tried doing them the same day after being taught in class.

    • Summer 2016
    • jacqueline jacobson
    • Great Intro to the Subject Always Do the Reading Many Small Assignments
    • Profile picture
    May 25, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    This professor is wonderful and will help you with anything you may not understand. She covers all of the material in depth and provides any resources you need.

    Course highlights:

    In this course you study probability and a lot of normal distribution and how to deal with samples of things. If you ever need to know anything about gathering and analyzing data, this course is definitely a must.

    Hours per week:

    6-8 hours

    Advice for students:

    With this course, make sure that you stay on track with your required work and try your best not to procrastinate otherwise it piles up and before you know it, it's the night before the test and you still have six worksheets to do before they're due in twelve hours.

    • Spring 2017
    • Ira Rosenthal
    • Math-heavy Many Small Assignments Participation Counts

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