This class was tough.
Course Overview:
I liked the subject of this course, but I wish I had not taken it with this professor. I ended up barely learning anything in this class and mostly had to teach myself.
Course highlights:
I learned a lot about how to use my graphing calculator to do statistical things. However, two quarters later and I cannot explain anything I supposedly learned even though I got an A in the course.
Hours per week:
6-8 hours
Advice for students:
My advice would be to look for outside resources other than the professor and the homework. I spend a lot of time online looking for other ways to teach myself the material.
Not too easy. Not too difficult.
Course Overview:
While the course may be challenging at first it is very rewarding not only for those looking to become a smarter consumer, but especially for those interested in pursuing math as a major and are wanting to prepare themselves for some of the material and formalism they might be presented with in a more rigorous course like MATH 246.
Course highlights:
Two major highlights of the course were learning how to construct confidence intervals and test hypotheses (both of which are essential to understanding data sets and justifying predictions).
Hours per week:
3-5 hours
Advice for students:
Even if you have a strong footing in mathematics I would suggest that you go into this course expecting to be confused at first. This course places just as much emphasis on mechanics as it does writing which separates it from most other math courses that you've probably taken. But if you stick to it you'll come to realize that while some of the material may appear abstract it has very far reaching implications in virtually every field of work.
Not too easy. Not too difficult.
Course Overview:
The professor was excellent with explaining course material and aiding students with their questions. He provided multiple practice sheets with the strategies to solve them. This teacher really cared about his students and did everything to help them succeed.
Course highlights:
Highlights were learning different ways to analyze data and work a graphing calculator. Learned about means, modes, range, standard deviations, variance, populations, random samples, one-tailed and two -tailed tests, etc. All these factors measured sets of data and provided ways to analyze and describe them.
Hours per week:
6-8 hours
Advice for students:
Always read the chapter before attending lecture. Take notes and ask for help when you need it. Do your homework and study for tests.