Not too easy. Not too difficult.
Course Overview:
Caples has a unique, offhanded demeanor that invites students to participate- if you actually want to. If you don't, you'll be comfortable ducking your head and ignoring the lesson. As far as material, it's all based on the textbook. His lectures don't come right out of the book, so there's some work to be done applying what he's discussed to the book-based assignments. That work is probably why I learned anything.
Course highlights:
Highlights? It's statistics. Turns out it's fascinating. I learned that it's really easy to manipulate data to tell a story you want numbers to tell. I learned the questions to ask when others provide numbers to bolster their arguments. I learned why it's not impressive to have a 95% accuracy.
Hours per week:
3-5 hours
Advice for students:
Critical thinking. Arithmetic and basic algebra. Patience and persistence. Apply those and it's an easy class.
Not too easy. Not too difficult.
Course Overview:
This professor is amazing! She makes the notes for you and the tests are straight from the notes/review. She really wants to make sure her students do their absolute best!
Course highlights:
Learned so much from this class. Honestly the highlights were the exams because I did so well on them and it was all because of this professor and how much she helped us out.
Hours per week:
9-11 hours
Advice for students:
Homework assignments between each test, few quizzes throughout the semester which were kind of hard, but other than that everything is really straight forward. Great professor!
Not too easy. Not too difficult.
Course Overview:
Statistics is an intersting course, it is not just math. I used to think that it is similar to Algebra, but it is totally different. Statistics used in everything from predicting weather to scores of NBA or NFL players. Scientist use statistics to evaluate ideas, test theory and discover truth. We can use statistic in our everyday life, for example, to compare prices of two supermarkets for grocery shopping.
Course highlights:
I learned to make prediction ( hypothesis) for something and way to figure out if that prediction is null, true or not true. I learned to make differnt graphs and compare them.
Hours per week:
6-8 hours
Advice for students:
Have a differnt prespective about this course, do not just think as math. If you really understand the concept than you can appply statistics in daily life as well. Have passion to learn something new and exciting!