This page contains information, electronic copies of the handouts, and data sets for the MATH1712 module.

The following links provide pdf copies of the handouts from lectures.

- homework 1 (deadline 12th Feb), solutions, and tutorial notes
- first practical (deadline 19th Feb), solutions
- homework 2 (deadline 26th Feb), solutions, and tutorial notes
- homework 3 (deadline 11th Mar), solutions
- second practical (deadline 18th Mar), solutions
- homework 4 (deadline 25th Mar), solutions
- homework 5 (deadline 6th May), solutions

While I strongly recommend that you take notes of what I say and write in lectures, I also make a typed version of my notes available here.

I have split out all advice about using R into a separate document:

This section lists some of the R code used in lectures.

- lecture 2 — data
*vs.*random samples from a model

This section lists some data sets we considered in this module:

- results of the R questionnaire (for homework 1)
- results of a 2016/17 course questionnaire
- results of a 2015/16 course questionnaire

There are many introductions to basic statistics available, both online and in the form of published text books. A selection of relevant books from our libraries is listed below:

- G.M. Clarke and D. Cooke, A Basic Course in Statistics, Edward Arnold, 2004.

[library 1], [library 2], [Amazon] - R.V. Hogg and E.A. Tanis, Probability and Statistical Inference, Pearson, 9th edition, 2014.

[library], [Amazon] - D.G. Rees, Essential Statistics, Chapman & Hall, 2001.

[library], [Amazon] - N.A. Weiss, Elementary statistics, Pearson, 2012.

[library], [Amazon] - J.A. Rice, Mathematical Statistics and Data Analysis, Duxbury Press, 2007.

[library], [Amazon]