Not too easy. Not too difficult.
Course Overview:
I would recommend this course if one wants to learn how to measure the ups and down of an organization.
Course highlights:
I learned how to do a T-test, NOVA on the SSP. These test I have never used and I can say I now understand the meaning of a test.
Hours per week:
9-11 hours
Advice for students:
I advise taking at least one to two hours a day studying.
This class was tough.
Course Overview:
This was the most rewarding mathematical course I have ever had. My instructor was very interactive and the supplemental instruction was extremely helpful for those of us who had no prior training in statistics. This course will help me greatly when it is time for dissertation to begin.
Course highlights:
The highlights of this course was learning about the different aspects of inferential statistics and how you are to make inferences from your statistical analyses of different problems which were presented to you to solve.
Hours per week:
12+ hours
Advice for students:
The advice I would give to any students, please come to this course with a very serious mindset and whatever you do please meet your deadlines.
Not too easy. Not too difficult.
Course Overview:
I have never been great at statistics, but Dr. Art broke the course down into easy to follow videos that relieved the anxiety most of us had towards statistics. Without the videos, that you are always able to access, I do not think I would have gotten an A in the course so I am very grateful. Wonderful Professor, moderately difficult course.
Course highlights:
Relearning the statistical content I was suppose retain from undergrad. You are in for T-test, Correlations and Anova's all over again.
Hours per week:
9-11 hours
Advice for students:
Take it now! You will do great!