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Math-heavy
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Midterm
Lecture 01_2333(2)
2333-141ex2prac (2)
2333-123ex2prac
47. Testing Means
42. A Test for Normality
45. Statistical Inference 2
44. Statistical Inference 2
39. sampling and simulating
21. hypergeometric pd
41. sampling distributions 2
30. Gamma (Repaired)
25. Moments
38. Multivariate analysis 3
30. Gamma
27. The Commuter
28. CRV2
23. The E Operator
Formula Sheet
40. sampling distributions 1
Fall 2013 midterm - solution
34. weibull
15. Bayes
20. binomial model and sampling
18. Random Variables
33. The Pareto Random Variable
24. The Poisson Probability Distribution
19. binomial distribution
31. Normal
32. lognormal pdf
2333Final Review_2016Fall.pdf
2333Exam2 Review_2016Fall.pdf
2333Exam1 Review_2016Fall(1).pdf
Practice_Test_1_with_HKD_notes[1].docx
Not too easy. Not too difficult.
Course Overview:
McGuire's lectures are very boring and she teaches off of her powerpoint but will gladly help students if they have nay questions. She seems to enjoy the subject she teaches and will coordinate to have tutorials once a week (but the tutorials are ran by the t.a.).
Course highlights:
She uploaded the powerpoint onto Blackboard and there were only 2 tests (the midterm and the final)
Hours per week:
0-2 hours
Advice for students:
Go to class and read the book! She will give quizzes in class throughout the semester and you will not know when they are.
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