Distribution of sample mean and sample variance; t, chi-squared and F distributions; summarizing data by statistics and graphs; estimation theory for single samples: sufficiency, efficiency, consistency, method of moments, maximum likelihood; hypothesis testing: likelihood ratio test; confidence intervals.
4
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
CollegeCoburn is very sweet and understanding. I will say sometimes the lectures can sometimes be hard to follow, but things like her posting handwritten notes I found quite helpful. Tests/quizzes aren't too bad
A mix of semi-lackluster lectures plus a bad TA (got unlucky, my TA was very dull and hard to understand) made me learn so little in this class, self-studying was much more effective. However, she's likely your best bet for the 120 series given decent tests and caring/kind attitude, even if she can be difficult to reach occasionally.
Didn't learn much from lectures, but easy tests and grading scheme made up for it. Overall would recommend taking.
Nice person but not very accessible outside of class. Lectures are lackluster, expect to self study a big portion of the class. Dont expect to leave with good knowledge of mathematical statistics.
I just self-studied for all the materials and got an A. Exams become easy if you can 100% solve all these practice problems.
The instructor was largely unresponsive to emails, including inquiries about the final exam. Even the TA had difficulty reaching her. Lectures were minimal and lacked depth, requiring significant self-study to truly understand the material. If you're looking for a course with strong guidance and engagement, this might not be the best choice.