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 or equivalent
You cannot take this module with 6CCM241B.
Assessment details
Written examination.
Exercises or quizzes will be set each week to be handed in the following week. These problems will be discussed in the tutorials and solutions will be available.
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
Indicative reading list - link to Leganto system where you can search with module code for lists