STATISTICS STA 405 * We aren't endorsed by this school

STATISTICS STA 405 Linear Modelling

  • Average Course Rating (from 2 Students)

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    Background Knowledge Expected

    Group Projects

    Many Small Assignments

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

    Not too easy. Not too difficult.

    Course Overview:

    i will recommend this course because it important in research and also data analysis .we gain the knowledge of testing all assumption before we carry out the analysis.

    Course highlights:

    i gained a lot from this course because i can now select appropriate model for any given data set because i know i to carry out test for assumption for each different model.also in this model i learned how to use r-program as statistical program to carry out the analysis.

    Hours per week:

    6-8 hours

    Advice for students:

    you need to famirialise yourself with the statistical software such R-program,SPSS,excel etc.also you need to take time to read and understand different models

    • Winter 2017
    • DR.Owuor
    • Yes
    • Background Knowledge Expected Group Projects Requires Lots of Research
    • Profile picture
    Jul 24, 2016
    | Would recommend.

    This class was tough.

    Course Overview:

    I recommend the course because the learner will gain knowledge and skills in foundation for the t-test, Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA), regression analysis, and many of the multivariate methods including factor analysis, cluster analysis, multidimensional scaling, discriminant function analysis as well as canonical correlation.

    Course highlights:

    I learned various modelling scalars including the t-test, ANOVE, ANCOVA as well as cluster analysis, multidimensional scaling and discriminant function analysis.

    Hours per week:

    9-11 hours

    Advice for students:

    in order to succeed this course, students need to focus on class attendance, group discusions also boosts thorough understing of the course.

    • Spring 2014
    • Dr. Bernard Mutuku Nzimbi
    • Math-heavy Many Small Assignments Participation Counts

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