**Meeting Time:**MW 9:30-11, F 10-11 Room 32-082.**Final Exam:**THURSDAY MAY 25, 1:30-4:30 in Johnson.**Exam 2:**Monday May 1, 9:30-11 in 32-082.**Office hours now to final:**Instructor: David Vogan, 2-355, office hours Monday May 22 and Wednesday May 24 3-5 pm; dav@math.mit.edu, phone 617-253-4991

TA: Lucas Mason-Brown, 2-231A, office hours Friday May 19 2-4 pm and Tuesday May 23 9-11 am lmbrown@mit.edu

TA: Sam Hopkins, 2-332A, office hours Tuesday May 23 and Wednesday May 24 5-7 pm; shopkins@mit.edu

TA: Gus Lonergan, 2-333A, office hours Thursday May 18 10-12, Thursday May 25 10-12; gusl@mit.edu

Here is a calendar/syllabus and due-date schedule.

Here is general information including a grading scheme.

Here are policies about collaboration; Piazza is a great way to collaborate.

Quick start for R and clickers. The clickers you used in chemistry and physics will work; the 3-D glasses from Avatar, not so much.

Here is R in five easy pieces.

**Readings**(Each link should work after the preceding class.)- Introduction to the class.
- Class 1 preparation material.
- Class 2 preparation material
- Class 3 preparation material
- Class 4 preparation material
- Class 5 preparation material
- Class 5.5 preparation material
- Class 6 preparation material
- Class 6.5 preparation material
- Class 7 preparation material (Joint distributions)
- Class 7 preparation material (Covariance and correlation)
- Class 10 preparation material (MLE)
- Class 11 preparation material
- Class 12 preparation material
- Class 13 preparation material
- Class 14 preparation material (beta distributions)
- Class 14 preparation material (continuous priors, continuous data)
- Class 15 preparation material
- Class 16 preparation material (choosing priors)
- Class 16 preparation material (probability intervals)
- Class 17 preparation material (Bayesian versus frequentist statistics)
- Class 17 preparation material (significance testing)
- Class 18 preparation material
- Class 19 preparation material
- Class 20 preparation material
- Class 21 preparation material (confidence intervals)
- Class 23 preparation material (confidence intervals continued)
- Class 24 preparation material (Bootstrapping)
- Class 25 will continue with bootstrapping, then practice in R. NO code to hand in!
- Class 26 preparation material (Linear regression)
- Class 27 review problems.
- Class 27 review problem solutions.

**Class slides**To be posted shortly before each class. After class they will be replaced by a version including solutions to many of the board problems in the slides.- Class 1 slides
- Class 2 slides
- Class 3 slides
- Class 4 slides
- Class 5 slides
- Class 6 slides
- Class 7 slides
- Class 8 slides
- Class 10 slides
- Class 11 slides
- Class 12 slides
- Class 13 slides
- Class 14 slides
- Class 15 slides
- Class 16 slides
- Class 17 slides
- Class 18 slides
- Class 19 slides
- Class 20 slides
- Class 21 slides
- Studio 10 review slides
- Solutions to Studio 10 review problems
- Class 23 slides
- Class 24 slides
- Class 25 slides
- Class 26 slides
- Class 27 slides

- upload site for completed studio code.
**Studios**(These links won't work until a day or two before the studio.)- studio1.zip It's reasonable to make a directory called "R" and to unzip this file (then later studio2.zip...) in the directory "R". You'll get a new directory R/studio1, in which you can work in class.
- studio2.zip
- studio3.zip
- studio5.zip
- studio6.zip Old version.
- studio6NEW.zip Replacement Studio 6. I think the coding is MUCH less demanding, and the math is (much?) more demanding. This is an experiment, so please let me know your opinions on how it went.
- studio7.zip
- studio8.zip
- studio9.zip
- studio11.zip
- studio12.zip R problems mostly about bootstrapping and confidence intervals. We'll look at some in Class 25 on May 10; there is
**nothing to hand in!** - RQuiz zip file

**Studio solutions**(These links won't work until a day or two after the studio.)- studio1-solutions.r
- studio2-solutions.r
- studio3-solutions.r
- studio5-solutions.r
- studio6-solutions.r
- studio6NEW-solutions.r
- studio7-solutions.r
- studio8-solutions.r
- studio9-solutions.r
- studio11-solutions.r
- studio12-sol.r

**Problem sets**(The links won't work until about a week before the due date. If they don't work then, let us know.)- Problem Set 1 (due Monday 2/13 9:30 a.m.) Solutions
- Problem Set 2 (due Tuesday 2/21 9:30 a.m.)
One problem refers to "probability mass function" and "expected value." These are explained in the Class 4 preparation material, posted above.

- Problem Set 3 (due Monday 2/27 9:30 a.m.) Solutions
- Problem Set 4 (due Monday 3/6 9:30 a.m.)Solutions
- Problem Set 5 (due Monday 3/20 9:30 a.m.) Solutions
- Problem Set 6 (due Monday 4/10 9:30 a.m.) Solutions
- Problem Set 7 (due Wednesday 4/19 9:30 a.m.) Solutions
- Problem Set 8 (due Monday 4/24 9:30 a.m.) Solutions
- Problem Set 9 (due Monday 5/8 9:30 a.m.) Solutions

**Exam prep material**