Carsten Chong

Distributions Statistics It is a good course to take. You would defintely learn a LOT

If you care for your grades and learning Statistics, AVOID this professor at all costs. I believe I speak for many other students in class when I say I had no idea what he was teaching. Is it because of his thick accent or his inability to explain concepts idk. He also made the finals incredibly hard on certain specific topics that were not covered well enough in the lectures and they were nothing like the problem sets assigned. This was after coming up with a ridiculous request for us to print an academic integrity statement form (which he later rescinded upon realizing how unnecessary this was). He literally said: For those of you that don't have printers, just go get one. You have more than enough time to do so. smh

I learned various concepts in statistical inference such as estimators, confidence intervals, hypothesis testing, and linear regression.

I learned about the basics of probability and statistics which is covered in standard statistic textbook, including combinatorics, conditional probability & Bayes Theorem, discrete/continuous random variables, joint probability, expected values and variance, Central Limit Theorem, estimators and point estimation, confidence intervals, hypothesis testing and linear regression. Although we didn't get into much depth because of limits on time, it provides enough knowledge to use in other areas (ex. machine learning, some basic data analysis in research).

Statistic. Inference theory, estimators, test, hypothesis testing, linear regression

AVOID. Prof. Chong is a horrible instructor, in my opinion. He's really smart, and a very nice guy, but he cannot teach. My first complaint is grading and solutions: Prof. Chong always seemed to not care about whether solutions to homeworks and the midterm were clear or correct -- to the point where students were asking a couple of days before the final exam about the solutions to a homework problem (on the fifth or so homework, out of ten), and he was like "oh yeah my bad, those are wrong, I'll correct them rn". This might've been more of a problem with the grader we had, rather than with Prof. Chong, but still, Prof. Chong just kinda didn't care about that. On a similar note, we got our midterms back graded, but with no marks, so we had no idea where we got points off and it was such a pain to figure that out -- having to go to multiple office hours to figure it out. We were also supposed to use the statistics tables on the back of our textbook, and often times Prof. Chong himself did not know where to find the proper critical value, what value was used in homework solutions and why, or what tables were relevant. All of this was incredibly confusing up until the final exam, where he kinda cleared it up. Secondly: teaching and course structure. I know I'm not alone when I say that more often than not I'd be sitting in front of my computer watching him lecture on Zoom just thi…

Estimators, confidence intervals, hypothesis testing

How to perform probability and statistics problems

Probability and counting, set-theoretic probability axioms, distributions (variance, expectation), some paradoxes like St. Petersburg and Simpson's; after the midterm the course picked up, starting with continuous distributions/law of rare events, moments and moment generating functions, inequalities (Markov's + Chebyshev's) and LLN/CLT (with proof), joint distributions, conditional expectation, transformations of random variables

method of moments, mle, CI, pivots, hypothesis testing