Module description
Syllabus:
Bivariate probability, continuous densities, generating functions. The exponential densities, including normal, t-, χ2 and F. Simple parametric and nonparametric tests. Further topics include the consistency, efficiency and sufficiency of estimates, maximum likelihood estimation; the central limit theorem, Chebyshev's inequality, the Neyman-Pearson lemma and the likelihood ratio test; regression, analysis of variance.
Prerequisites:
4CCM141a / 5CCM141b Probability and Statistics I.
Assessment details
Written examination.
Semester 1 only students will be set an alternative assessment in lieu of in-person exams in January.
Full year students will complete the standard assessment.
Educational aims & objectives
This course should make you familiar with the standard techniques of elementary statistics and, by introducing such fundamental concepts as hypothesis testing, estimation and analysis of variance, prepare you for further study in both theoretical and practical statistics.
Teaching pattern
Three hours of lectures and one hour of tutorial per week throughout the term
Suggested reading list
Suggested reading/resources (link to My Reading Lists)