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
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.