**Final exam advice:**- A basic summary of what to expect on the final is here.
- Here is some more specific advice for the first section of Part I on the final exam (read the previous part first): In pdf.
- And here are the answers to some of the problems in chapter 13 (see previous link).
- A graphic outline of when to use the various tests we've learned about during the semsester. Available here.

PLEASE - as for the two sample guide (below), you still need to use common sense! - Some sample residual plots (please don't worry if they're difficult to interpret - details in class). In pdf.
- A graphic outline of when to use which
test is available in jpeg or pdf.*two-sample*

PLEASE - it's only a guide, you still need to use common sense! - Here are some worked out examples for two sample tests.
- Instructions for installing R can be found here. Please make sure you have R installed by the second week of classes (in time for your recitation).

**PLEASE read the instructions carefully. They do work, but if you skim over them or skip a step you may get very frustrated.**installation of all the parts to R (specifically R commander) will be very difficult. Please consider upgrading to a more recent version of Mac OS X, using the command line only (your lab instructor will explain), or spending a lot of time getting it installed.*If you're using Mac OS X 10.4:*

- Notes on using R can be found here.

*(Password required; this will ge given to you in class).*

Homework 1 | Homework 2 | Homework 3 | Homework 4 | Homework 5 |

Homework 6 | Homework 7 | Homework 8 | Homework 9 | Homework 10 |

Homework 11 | Homework 12 |

Lecture notes are up to date. A few might still have some typos. I will try to fix these before the relevant lectures (sometimes not until

Notes are provided only in pdf (Adobe Acrobat, or, if you don't like Adobe, Foxit (not as bloated as Adobe)).

Lecture topic |
Format |
Comments | Updated?
| |

Introduction/course policies/syllabus | yes | |||

Statistics and their use | yes | |||

Data organization and notation | yes | |||

Descriptive statistics | yes | |||

Miscellaneous subjects and random sampling | yes | |||

Probability | yes | |||

Probability distributions | yes | |||

Odds and ends | yes | |||

Sampling distributions and estimation | yes | |||

Interval estimates | yes | |||

Hypothesis testing I (!!) | yes | |||

Hypothesis testing II | yes | |||

Assumptions | yes | |||

Violated assumptions! | yes | |||

More on two sample tests | yes | |||

Introduction to ANOVA | yes | |||

More on ANOVA's | yes | |||

Violated assumptions in ANOVA | yes | |||

Chi-square goodness of fit | yes | |||

Contingency tables | yes | |||

Introduction to regression (correlation) | yes | |||

Regression I | yes | |||

Regression II | yes | |||

Survey of other topics | (May not be covered) | yes |