You are here - Welcome to LSE > Calendar > Course guides > ST102 Elementary Statistical Theory

## ST102Elementary Statistical Theory

This information is for the 2012/13 session.

Teacher(s) responsible

Dr James Abdey, COL 7.09

Availability

Compulsory for BSc Actuarial Science, BSc Business Mathematics and Statistics, BSc Statistics with Finance, BSc Econometrics and Mathematical Economics, BSc Economics, BSc Economics and Economic History, BSc Economics with Economic History, BSc Mathematics with Economics, BSc Geography with Economics and BSc Mathematics and Economics. Optional for BSc Accounting and Finance, BSc Management and BSc Philosophy and Economics. Available to General Course students and as an outside option. This course cannot be taken with ST103 Statistical Methods for Social Research or ST107 Quantitative Methods (Statistics).

Pre-requisites

A-level Mathematics or equivalent. No previous knowledge of statistics is assumed.

Course content

The course provides a precise and accurate treatment of introductory probability theory, statistical ideas, methods and techniques. Students will also be exposed to the MINITAB statistical package.

Descriptive statistics including some exploratory data analysis. Probability: axiomatic probability, conditional probability, Bayes' Theorem, independence, combinatorial methods. Random variables: discrete and continuous random variables, expectation and variance, joint and conditional distributions, the moment generating function. Important distributions of statistics, including the Binomial, Poisson, Uniform and Normal distributions.

Sampling distributions of statistics and the Central Limit Theorem. Concepts of statistical inference; Point estimation: method of moments estimation, least squares estimation and maximum likelihood estimation; Interval estimation; Testing statistical hypotheses: one-sample tests and two-sample tests; Inference for correlation coefficients and variances; Rank-based nonparametric tests and goodness-of-fit tests; Contingency tables; Linear regression analysis: model estimation, hypothesis testing, and prediction; Regression and ANOVA with Minitab.

Teaching

Lectures ST102: 20 MT, 20 LT, 4 ST.

Example Workshops: 9 MT, 10 LT, 4 ST.

Classes ST102.A: 8 MT, 10 LT, 3 ST.

Help Sessions: 8 MT, 10 LT.

Formative coursework

Students will be given weekly exercises on which they are to work and then are handed in to class teachers for marking and advice. The exercise material will form the basis of the workshops and classes.