This class was tough.
Course Overview:
Professor doesn't take the time to answer questions. TAs are helpful but material is hard. I spent my entire semester learning R studio in order to pass the homework and learned nothing about how to do the formulas by hand and failed the final as a result
Course highlights:
R studio and how to use a statistical analysis program
Hours per week:
9-11 hours
Advice for students:
GO TO CLASS AND TAKE NOTES. But try to learn more about how to use the formulas outside of R studio.
Not too easy. Not too difficult.
Course Overview:
Last year, I attempted this course with Richard Bogartz and had to drop it within the first week. I was already overwhelmed and knew passing would be an uphill battle. I reattempted this semester with Staub and absolutely loved the class. If you put in the effort, it will be reflected in your grade.
Course highlights:
This course is nice because you learn the basics of statistics, but it never goes too into detail. You do not need to memorize any formulas. Instead, Staub explained why the formulas worked piece by piece. He was very realistic, and would say how in the real world we would never need to memorize these formulas so didn't waste our time with it now. This course focused more on understanding and real learning than rote memorization like other courses I have taken in the past.
Hours per week:
6-8 hours
Advice for students:
Do as well as you can on the homeworks, they will save your grade! They take hours and hours, but it will be worth it.
Not too easy. Not too difficult.
Course Overview:
I would recommend this course because it takes in intimidating subject like Statistics and makes it comprehensible for students who have taken statistics prior. This course also managed to specify Statistics into Psychology situations so it is very topical to psychology students interested in research. The coursework was manageable but still helpful practice for exams.
Course highlights:
The course appropriately applied Statistics to Psychology. I learned a variety of theorems, formulas and concepts all in one semester. I learned the importance of circumstances when involving probability.
Hours per week:
3-5 hours
Advice for students:
I would suggest to future students that they finish assignments and complete the practice problems to prepare for exams, The professor gives you a lot of information online to help you prepare so I advise everyone take advantage of these resources.