This class was tough.
Course Overview:
This course is not for everyone. I would recommend this course to any student who is interested in statistics or probability and has passed Calculus 3. If you have taken statistics 3070 and loved most of it, you will most likely enjoy probability. This class does a lot of review of 3070 material (especially counting problems using combinatorics) and implements probability to similar exercises. Expect to spend a considerable amount of time studying the material and it might help to review the book before you begin the class. This course is required for all students pursuing a math degree with a statistics emphasis however may be interesting to any student with a talent for math.
Course highlights:
I developed a greater insight of probability density functions and cumulative distribution functions. I learned that independence implies a co-variance of zero (I understand "co-variance" is spelled incorrectly but I wanted to make sure not to have any red lines show up while reviewing my application), but a co-variance of zero does not imply independence. We also reviewed more of expected values, correlation coefficients, and upper/lower bounds for confidence intervals. The convolution formula is introduced but is kept pretty basic. We learned more about exponential and binomial distributions.
Hours per week:
12+ hours
Advice for students:
In order to succeed, you have to study every day and review the materials before the first class begins. Try to go to office hours as much as you can. If a practice quiz/exam is available, be sure to do it and check all answers after attempting each problem. After your teacher has returned any graded assignment, look over all answers carefully to make sure you understand each problem missed. Also check the assignment for any errors the teacher may have made so you can get points back.