## Review of Statistics Prerequisites

Things that you should know, or review, as a necessary prerequisite for this
course.

Quantitative and Qualitative variables, Continuous and Discrete variables.
Normal distributions and Binomial distributions. How to test if data
are Normally distributed.

Means, Standard Deviations, Coefficients of Variation. What they are and
how to calculate them.

Chi-squares.

What a t-test is; comparing 2 or more means.

What an F-test is; comparing 2 Mean Squares.

The relationship between the variation, the standard deviation and the
sampling variance of a mean and the standard error of a mean. Confidence
Intervals.

Review simple linear regression; what the intercept and regression estimate
mean. Also simple correlations between 2 traits.

The above material is covered in the course Statistical Methods I
(AEMA-310). This is approximately equivalent to the contents of
chapters 1 to 6, and 10 and 11, of the textbook Principles and Procedures
of Statistics: A biometrical approach, by Steel, Torrie and Dickey.
This post-graduate statistics course (AEMA-610) uses Steel, Torrie
and Dickey
as a reference textbook, amongst others. It starts where Statistical
Methods I (AEMA-310) ends and covers Multiple Regression, Multiple
and Partial Correlations, Analysis of Variance with Classification
Models (One-way, Two-way and Multi-way/Multi-Factorial ANOVA). Many of
the examples have been taken from Steel, Torrie and Dickey to illustrate
principles of 'balanced' and 'unbalanced' analyses and to show how
statistical analyses using computer programs (in this case using SAS)
do indeed give the same answers as the textbook! Thus Steel, Torrie
and Dickey
as well as the course notes and this on-line material are all designed
to complement oneanother.

R.I. Cue, 2010 April 28