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 was very nice, cared about students. 3 quizzes, 1 midterm, 1 final, highest quiz was kept. HW every week but was max 10 or so problems. Lectures were long but provided good material. If you study the lectures and homework, you'll do well on the exams.
The course content was challenging, but Prof. Abuzaid was very supportive. The course was well-structured, following a clear routine with 3 quizzes (with the best score counted). The homework was lengthy but valuable for understanding the concepts. If you can complete the homework and practice exams thoroughly, the exams should feel fair.
Nice guy with reasonable quizzes/exams, posts all HW solutions and lecture notes (which are pretty good) on Canvas. Unfortunately, thick accent makes him hard to follow during lecture. The annotated notes helped me more than his actual explanations.
Very nice professor who cares about his students. Lectures are decent, though they often focus on proofs. The final project effectively ties all topics together. He is accommodating and considerate.
As an exchange student, I thoroughly enjoyed my learning experience in the PSTAT 126 course. The classes were consistently engaging and insightful that I really learned a lot from it!
Prof. Abuzaid is a nice instructor for PSTAT 126. While the course itself is challenging with its mathematical derivations, he always provides clear explanations that make the material more manageable. I found it especially helpful that he included R code in the notes, which was invaluable for completing the final project.