Pretty easy, overall.
Course Overview:
Stastics is a crucial subject for anyone looking to enter math or science fields; in fact, it's beneficial to everyone in that it puts sometimes misleading research into the correct perspective. This class serves as a great introduction to the subject by first reviewing basic statistical terms and descriptions. Some more difficult parts were probability and inference tests overall. Generally, there is a lot of little assignments needed for this class, and though their efficacy may be questionable, they do serve as good review from time to time. Self studying of Statistics coupled with this course would be ideal in order to grasp a more intuitive view of Statistics overall.
Course highlights:
The highlights were probably the material itself, as Statistics is quite intriguing overall. The class teaches histogram/general data analysis and description, basic statistical formulae, certain facets of probability, different disributions, methods of surveying and biases apparent in each, and inference tests. Overall, the class was a solid introduction to the vast field of Statistics.
Hours per week:
0-2 hours
Advice for students:
Look past simply completing the course assignments solely to "get them done". Try to internalize statistical principles; they'll help you greatly in completing the course. Make sure to be thorough while answering free response questions on a test. Finally, don't get frustrated over difficult concepts or weird conventions.
Not too easy. Not too difficult.
Course Overview:
This course can better help one to understand what they are interpreting upon polls and random surveys they read on the internet. it can also assist one in being a more mind-full voter.
Course highlights:
The highlights of this course were learning how to interpret and compare graphs and learning exactly how a survey can be trusted and not be trusted.
Hours per week:
3-5 hours
Advice for students:
I recommend doing the homework and practicing on your own with random internet surveys and compare to a national scale rather than a voluntary sample.