Logistics

Caution

Page under construction: information on this page may change.

What to bring?

  • You only need pencil, eraser, student or government id.
  • The quiz is closed book (in particular, no electronics, including simple calculator permitted).

Time

We will start promptly at 9:30 (please arrive on time) and end at 10:45 (75 minutes).

Distribution reference

The cover page of the exam will have the following table. Note that compared to last week’s practice, I have added 3 rows, providing two additional parameterizations for the normal, and one additional parameterization for the beta.

Name Abbreviation Parameters
Bernoulli \({\mathrm{Bern}}(p)\) Success probability \(p \in [0, 1]\)
Binomial \({\mathrm{Binom}}(n, p)\) Number of trials \(n \in \mathbb{N}\), success probability \(p \in [0, 1]\)
Uniform \({\mathrm{Unif}}(a, b)\) Left and right bounds, \(a < b\)
Normal \(\mathcal{N}(\mu, \sigma)\) Mean \(\mu \in \mathbb{R}\) and standard deviation \(\sigma > 0\)
\(\mathcal{N}(\mu, \sigma^2)\) Mean \(\mu \in \mathbb{R}\) and variance \(\sigma^2 > 0\)
\(\mathcal{N}(\mu, \tau)\) Mean \(\mu \in \mathbb{R}\) and precision \(\tau = 1/\sigma^2 > 0\)
Exponential \({\mathrm{Exp}}(\lambda)\) Rate \(\lambda\) (\(=1/\)mean)
Beta \({\mathrm{Beta}}(\alpha, \beta)\) Shape parameters \(\alpha > 0\) and \(\beta > 0\)
\({\mathrm{Beta}}(\mu, s)\) Mean parameter \(\mu \in (0, 1)\) and concentration \(s>0\)