CIDM 6300 * We aren't endorsed by this school

CIDM 6300 Stats

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  • Average Rating (from 2 Students)

    Overall Rating Breakdown
    • 2 Advice
    • 5
    • 4
    • 3
    • 2
    • 1
  • Course Difficulty

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    • Medium 50%

    • Hard 50%

  • Top Course Tags

    Always Do the Reading

    Great Intro to the Subject


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    • Profile picture
    Jan 04, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    This professor made the material very easy to understand.

    Course highlights:

    I learned the basics of social statistics and how to calculate them.

    Hours per week:

    0-2 hours

    Advice for students:

    Pay attention to every lecture and don't miss any classes. It's a very fast paced class.

    • Winter 2016
    • He ry
    • Yes
    • Profile picture
    Dec 10, 2016
    | Would highly recommend.

    This class was tough.

    Course Overview:

    Being able to understand and utilize statistical analyses is a must for every business manager, no matter their function. Statistics also helps us in our daily lives by giving us insight into how data are collected and presented to us by the government and private industries.

    Course highlights:

    Course Objectives Upon completion of this course,  Students will be able to use spreadsheets and other appropriate tools to produce and interpret data set summarizations including charts, graphs, scatter diagrams with regression lines, frequency distributions, measures of central tendency, measures of dispersion, percentiles, and other descriptive statistics.  Students will gain an understanding of random variables, expected value, and the following probability distributions: binomial, Poisson, continuous uniform, normal and exponential, as well as sampling distributions and the central limit theorem.  Students will gain an understanding of Inferential Statistics, specifically, point estimates, interval estimates and tests of hypotheses.  Students will be able to analyze data using analysis of variance, regression and correlation, time series methodology and the computer routines which support each.  Students will demonstrate competency in using spreadsheets for data presentation and analysis throughout the course.  Students will acquire or enhance critical thinking skills through data analysis exercises, statistical problem solving and case studies.  Students will acquire an understanding of the ethical responsibilities involved with data collection, analysis and presentation.

    Hours per week:

    12+ hours

    Advice for students:

    Remain diligent in completing the work and studying, make sure you understand each section because it builds on lessons learned.

    • Fall 2016
    • Kelley, G
    • Yes
    • Math-heavy Great Intro to the Subject Always Do the Reading

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