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
CollegeProfessor G is a great professor. He cares a lot and will give you a good grade if he sees you trying. In office hours before the final he basically gave us all the questions on the final. His grading is super lenient and he tries really hard to help where he can. Taking him again next quarter.
Lets you bring 2 pages of notes to tests, EXTREMELY, extremely lenient grader, and releases practice problems the night before the exams that are basically exactly the same as the ones on tests. One of the greats, his classes are not fail-able, ignore what everyone says. Just show up to 2 classes: the midterm and final, and you'll pass I promise.
Didn't know how to pace the course for Summer Session B, so we were told to attend two extra lectures at 7:45 PM during our finals week. High expectations for students' understanding while simultaneously leading disjointed, confusing lectures. Luckily, he's a very lenient grader. He's a good guy, but would avoid in future upper divs.
Karen is a genuinely good person and although I don't always understand 100% of the lecture material, he always tries to make it more entertaining. Would take him again, but the class isn't easy.
Really kind professor. He's a fair grader, and make sure you attend class (even if you don't participate) so that he knows who you are. Clear grading criteria, lots of opportunities for extra points and reduce the weight of your midterm and final by doing optional projects
Dr. Grigorian is super engaging, time flies in lecture. The lecture material is really difficult, impossible to understand in lecture and incredibly difficult to understand after, but the exams are easier and more comparative to textbook material. He randomly takes attendance and also grades on participation. Textbook is a must to read.