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Module ST1251: Introduction to Statistics I

Credit weighting (ECTS)
5 credits
Semester/term taught
Michaelmas term 2012-13
Contact Hours
11 weeks, 2 lectures and 1 tutorials per week
Lecturer
Prof. Eamonn Mullins (Statistics)
Learning Outcomes
On successful completion of this module, students should be able to:
  • Explain the elementary ideas underlying probability models;
  • Distinguish between discrete and continuous random variables;
  • Apply a number of simple probability models to practical problems in a range of disciplines;
  • Demonstrate an understanding of the elementary properties of random variable (exception, variance and covariance)
 
Module Content
  • Elementary probability ideas;
  • Discrete probability models, including binomial, hypergeometric, geometric, Poisson;
  • Continuous distributions including Normal, uniform and exponential;
  • Expectations and variances of random variables;
  • Combining random variables;
  • Sampling distributions
Module Prerequisite
None
Recommended Reading 
Ross, S.M., ''Introduction to Probability and Statistics for Engineers and Scientists'' Harcourt/Academic, 2000 (also Wiley, 1987)
  Chatfield, C., ''Statistics for Technologists'' , 3rd edition, Chapman and Hall, London, 1983.
Assessment Detail
This module will be examined jointly with ST1252 in a 3-hour examination in Trinity term, except that those taking just one of the two modules will have a 2 hour examination. The supplemental exam will consist of 100% exam.