26 Fin

Hadley Wickham

Stat310Fin

Sunday, 19 April 2009

1. Assessment

2. Finish off testing

3. Majoring in statistics

4. Stat405

5. Course feedback


Gingernut

Anzac biscuit

Peanut brownie


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


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).


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

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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Difference

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|Difference|

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z−score

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yintercept

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61 rejected


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20 40 60 80 100


sameerence

−0.5

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Can you think of another test-statistic based on this plot?


|sam

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z−score

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20 40 60 80 100


yintercept

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20 40 60 80 100

1 rejected


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


Stat410

Introduction to linear models

Powerful and general statistical tool.

Theory and data


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




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)


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


26 Fin

Education

Transcript of 26 Fin