STA 2201S: Applied Statistics II Spring 2014
Final exam with solutions.
HW 4 deadline is extended to Monday, April 14, 5 pm. No extensions can be given beyond this date and time.
Some clarifications for HW 4:
HW4, Q3, refers to Peng et al. (2006), referenced in the slides of March 21:
Here is the paper.
- for Q1, it is best to work conditionally on \(w_i\). If you make the substitution \( x_j = w_j - u_j\) in the regression model, note that the error no longer has mean zero, and it is correlated with the covariate.
- for Q3, there are several ways to plot the sex coefficient as a function of other smoothing coefficients, and any version you choose is fine, as long as you're clear about what you did.
HW 2 Solutions
Homework 4 due before 5 pm, April 14
Latex source (amended March 21, 1.49pm)
Homework 3 due March 21, 2 pm.
Homework 2 due February 28, 2 pm.
Homework 1 due February 7, 2 pm.
- Slides. You are not responsible for any topics shaded in gray.
- Slides (updated 1.30, Feb 28)
- Yi Lu's slides
- CBC News on cheating
- Paper by Christensen Hughes on survey form 2002-2003.
- For the PSID data, the degrees of freedom in the output are a bit mysterious.
After much exploring, it seems that the calculation of these 'denominator' degrees of freedom is anything but straightforward. There are good discussions here and here, and Faraway has updated his book with a post here. A nice tutorial on mixed effects models by John Fox is here.
- Slides (Typos corrected Jan 12)
- Brain and reading study:
There are links to the Washington Post article, and to the Wired Science blogpost, embedded in the slides, but I have also uploaded
- Reproducible Research
- Statistics Jobs in the News
Statistical Models by A.C. Davison.
You are welcome to use the statistical computing package of your choice,
I will refer exclusively to the R computing package. Some online resources
that I've found helpful are: