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Module Descriptor School of Computer Science and Statistics

Module CodeST7016
Module Short Title
Semester TaughtTrinity Term
Contact Hours33
Module PersonnelChief Examiner - Donal Martin
Learning Outcomes

On successful completion of this module students should be able to:

  • solve simple problems using distributions
  • Provide & interpret estimates of unknown parameters in populations
  • identify the benefits of using confidence interval and hypothesis tests to make statistical decisions.
Learning Aims
  • Provide the student with an introduction to statistical concepts.
  • Introduce the student to some distributional theory to solve problems.
  • Introduce the learner to some topics in interferential statistics and apply some interval based and hypothesis testing techniques using the standard normal and the student-t distributions.
Module Content

Introduction to Statistical concepts, notation, sampling methods ' Introduction to random variables, linear combinations random variables ' Summary statistical measures + some graphical displays ' Statistical variation, Standard Normal distribution and applications ' Statistical inference, interval and hypothesis testing techniques for means, proportions

Recommended Reading List

J. Reilly, Using Statistics, Gill and Macmillan, 2006 

D. S. Moore and G. P. McCabe, Introduction to the Practice of Statistics, W.H. Freeman and Company, New York, 3rd ed., 2007.

D. G. Altman, Practical Statistics for Medical Research, Chapman and Hall, England, 1991.

Lloyd Jaisingh, Statistics for the Utterly Confused. 2nd ed. McGraw Hill. 2006

Module Prerequisitesnone
Assessment Details
Module Website
Academic Year of Data2014/15