Average Rating
Course Difficulty
Easy 0%
Medium 67%
Hard 33%
Top Course Tags
Many Small Assignments
Math-heavy
Background Knowledge Expected
Not too easy. Not too difficult.
Course Overview:
Nath did the best he could considering the fact that english was his second language. He usually will continue to explain something until you can get it right. DO THE STUDY GUIDE.
Course highlights:
Introduction to statistical concepts, reasoning and methods used in data analysis, descriptive statistics, sampling distributions, statistical inference, confidence intervals, regression or correlation, contingency tables
Hours per week:
3-5 hours
Advice for students:
The study guides are so similar to the test I think everyone should do them it can be time consuming but its definitely worth the A!!!!!
This class was tough.
Course Overview:
This class really tripped me out, I was doing average in the class but the final killed me.
Course highlights:
The main topics of this class were percentages and graphs, it wasn't what I expected.
Hours per week:
9-11 hours
Advice for students:
Take another professor, he definitely has a thick german accent that could be hard to understand.
Not too easy. Not too difficult.
Course Overview:
Assignments were clearly communicated. TAs were helpful. Tests were based on class requirements and homework assignments
Course highlights:
Introduction to statistical format and formulas.
Hours per week:
6-8 hours
Advice for students:
Stay on top of homework assignments. Ask questions of TAs and professor based on any difficulty you may have with the assignments. Memorize the formulas well in advance and work problems based on what you memorized. Go to class.