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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.