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Hadley Wickham
Stat310Fin
Sunday, 19 April 2009
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1. Assessment
2. Finish off testing
3. Majoring in statistics
4. Stat405
5. Course feedback
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Gingernut
Anzac biscuit
Peanut brownie
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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.
Assessment
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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).
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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 gradingSunday, 19 April 2009
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Testing example
Xi ~ iid Normal(μx, 1)
Yi ~ iid Normal(μy, 1)
Xs and Ys are independent.
Do they have the same means?
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4.5
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20 40 60 80 100
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Difference
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1.0
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20 40 60 80 100
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|Difference|
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20 40 60 80 100
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z−score
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yintercept
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20 40 60 80 100
61 rejected
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Sunday, 19 April 2009
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4.5
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20 40 60 80 100
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sameerence
−0.5
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20 40 60 80 100
Can you think of another test-statistic based on this plot?
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|sam
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20 40 60 80 100
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z−score
0.0
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1.0
1.5
2.0
2.5
20 40 60 80 100
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yintercept
0.0
0.2
0.4
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20 40 60 80 100
1 rejected
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Majoring in statisticsI’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
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Stat410
Introduction to linear models
Powerful and general statistical tool.
Theory and data
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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
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ElectivesSOCI 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)
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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?
Feedback
Sunday, 19 April 2009