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### 26 Fin

1. 1. Stat310 Fin Hadley Wickham Sunday, 19 April 2009
2. 2. 1. Assessment 2. Finish off testing 3. Majoring in statistics 4. Stat405 5. Course feedback Sunday, 19 April 2009
3. 3. Gingernut Anzac biscuit Peanut brownie Sunday, 19 April 2009
4. 4. Assessment Exam 3 and homework 8 graded and available for you to pick up. Model answers available online. One common mistake on exam: writing down joint pdf. Overall grade: no curving. Sunday, 19 April 2009
5. 5. Final Take home. Two hours long. Three (double-sided) pages of notes. Available ﬁrst day of ﬁnals week. Due last day. (Study session) Four questions organised around cross- cutting themes (on next slide). Sunday, 19 April 2009
6. 6. Common themes Probability of an event. Independence & conditioning. Distributions: pdf/pmf, cdf, mgf, named. Working out mean and variance. Distribution of transformed variable(s). Estimation and testing. Philosophy of grading Sunday, 19 April 2009
7. 7. Testing example Xi ~ iid Normal(μx, 1) Yi ~ iid Normal(μy, 1) Xs and Ys are independent. Do they have the same means? Sunday, 19 April 2009
8. 8. y y y y y y 6.5 y y yy y y y y y y y y y y y y y y y y y y y y y yy yy y yy y yyy yy yyyy y y yyy yy 6.0 y y y yy y y y y y y yy y y y y y yy y y y y y y y yyy yy yy y y y y y y y x x y x y 5.5 x yxx x x x x x x x x x xx x x x xx x x x x xx y x x x x x x xx x x x x x x x xx 5.0 x x x x xx xx x xx x x x x x x xx x x x x xx x xx xx x x x xx x x xx x x x x x x x xx x 4.5 x x xx x x 20 40 60 80 100 Sunday, 19 April 2009
9. 9. 2.0 1.5 Difference 1.0 0.5 0.0 20 40 60 80 100 Sunday, 19 April 2009
10. 10. 2.0 1.5 |Difference| 1.0 0.5 0.0 20 40 60 80 100 Sunday, 19 April 2009
11. 11. 4 3 z−score 2 1 0 20 40 60 80 100 Sunday, 19 April 2009
12. 12. 61 rejected 0.8 0.6 yintercept 0.4 0.2 0.0 20 40 60 80 100 Sunday, 19 April 2009
13. 13. Sunday, 19 April 2009
14. 14. y x y x x x y x 5.5 y x y y x x x y y x yy y x xyx x xx xy xx x x y yy y y x yyy xx xx x y y xyy xy xx x y xy x x yx y y yx x y y x y yy yy yy y x y xy xx xy yx yx y x y y y y yy yx xx xxx 5.0 y yyx x x y yy x y x yy yx y yy x y x x xx x x x y yyy x x x y y xy yx x x xy x y x xxx y x y xx y y x x yy y y yx x x xy x x xx y y y y xx x y y y x 4.5 y yx x y x y 20 40 60 80 100 Sunday, 19 April 2009
15. 15. 1.0 0.5 sameerence 0.0 −0.5 20 40 60 80 100 Can you think of another test- statistic based on this plot? Sunday, 19 April 2009
16. 16. 1.2 1.0 0.8 |sameerence| 0.6 0.4 0.2 0.0 20 40 60 80 100 Sunday, 19 April 2009
17. 17. 2.5 2.0 z−score 1.5 1.0 0.5 0.0 20 40 60 80 100 Sunday, 19 April 2009
18. 18. 1 rejected 0.8 0.6 yintercept 0.4 0.2 0.0 20 40 60 80 100 Sunday, 19 April 2009
19. 19. Majoring in statistics I’m one of the undergrad advisors. 3 required stat classes (Stat310, Stat405, Stat410) + 6 stat electives + calc, linear algebra, computing Makes for a great double major. Particularly useful if you’re thinking about grad school. (Appealing to employers too) http://statistics.rice.edu/ShowInterior.aspx?id=58 Sunday, 19 April 2009
20. 20. Stat410 Introduction to linear models Powerful and general statistical tool. Theory and data Sunday, 19 April 2009
21. 21. Stat405 Statistical computing and graphics. Lots of computing and hardly any maths. Past projects: diamond pricing, card counting in blackjack, baseball players over last 100 years, trends in crime http://had.co.nz/stat405 Sunday, 19 April 2009
22. 22. Electives SOCI 436 (Houston area survey), 313 (demography) ECON 340/440 (game theory), 400 (econometrics), 475 (optimisation), 477 (math of economics), 479 (modelling) STAT 385, 431 (more theory), 420 (process control), 421 (time series), 422 (Bayesian data analysis), 423 (bioinformatics), 453 (biostatistics), 485 (environmental) Sunday, 19 April 2009
23. 23. Feedback If you could travel back in time, what advice would you give yourself about this class? How would you describe the class in ﬁve words? What one thing could I do to most improve the class? What was your favourite thing about the class? Sunday, 19 April 2009