Anthony G. O'Farrell: Course SE216a. Statistics Submodule



SE216a. Statistics Submodule.

The module SE216a as a whole runs for Semester I, with a two-hour final exam during the January examination period. There will be two lectures per week. Each student also has a weekly tutorial, from week 4 onward.

This submodule of the course involves 6 lectures. Each student will have two tutorials devoted to it, incorporating quizzes, and two written assignments. There will be one question about it on the final exam, and it will be compulsory.

This submodule counts for 25% of the grade, of which 70% will be determined by the final exam, and the rest by the assignments and quizzes.

The lectures are at Tuesday 12-1 and Friday 12-1. Tutorial groups and locations will be arranged.

The submodule is about stuff that every computer scientist and software engineer needs to know. We all have to deal with data, analyse them, and try to draw conclusions about them. The topics are:

Description and display of data: Variables, cases, types of variables. stem and leaf diagrams, histograms.

Measure of central tendency and spread: Mean, median, quartiles, inter-quartile range, box-plots, standard deviation.

The Normal Distribution.

Relationships between variables: Bivariate data, scatterplots, correlation, regression lines. Relations between categorical variables.


Recommended Book:

1.

David S. Moore and George P. McCabe, Introduction to the Practice of Statistics, published by W.H. Freeman, New York.

Our submodule relates to the material of Chapters 1 and 2, and a little bit of Chapter 10. The rest of the book will be useful to you in future years and for the rest of your working life, because it covers standard material about the design of experiments and surveys, and the art of drawing inferences from the results.

There are many other similar books. Moore and McCabe present the material at an easy pace, and avoid technicalities. Other books are brisker or go deeper. See the 519.5 section of the Library, where there are many basic Stats texts. Ceann a taithnionn go mor dom, ce nach dteann se comh fada agus an cursa seo, na:

2.

J. Mac Airt, Staitistici & Feidhmeanna. An Gum. (515.9 MAC)

Online resources in the areas of Probability and Statistics
Updated 10-9-2004.