EC124: Statistical Techniques B
Jeremy Smith
Module Leader
Principal Aims
This module provides students with a thorough understanding in basic principles of statistics. You will gain an understanding of probability theory, calculating moments of univariate and multivariate distributions (including some commonly used special distributions), hypothesis testing and confidence intervals. You will gain an understanding of
how programme within the statistical package, thereby enabling the presentation of statistical data in a
meaningful way (tables, graphs), how to develop hypothesis tests from the data.
Principal Learning Outcomes
have acquired the statistical techniques necessary to study core and optional first and second year modules in economics;
develop further your knowledge of statistical methods and statistical modelling
have gained an awareness of data and of data handling through the use of statistical software.
Syllabus
The module will typically cover the following topics:
Descriptive statistics; Probability; Discrete random variables; Binomial and Poisson distributions; Bivariate distributions; covariance and correlation; Continuous random variables; uniform and normal distributions; Limit theorems; Sampling and sampling distributions; Hypothesis testing and confidence intervals; Non-parametric testing.
Context
- Core Module
- L100 - Year 1, L116 - Year 1, R2L4 - Year 1
- Optional Core Module
- R9L1 - Year 1, R3L4 - Year 1, R4L1 - Year 1, R1L4 - Year 1, L1L8 - Year 1, V7ML - Year 1, LM1D (LLD2) - Year 1
- Optional Module
- V7ML - Year 1, LM1D (LLD2) - Year 1, LA99 - Year 1
- Pre or Co-requisites
- A level Mathematics, or equivalent.
Assessment
- Assessment Method
- Coursework (40%) + In-person Examination (60%)
- Coursework Details
- 1200 word Statistical Project (20%) , 5 x problem sets (10%) , In-person Examination (60%) , Test (10%)
- Exam Timing
- Summer
Exam Rubric
Time Allowed: 2 Hours
Read all instructions carefully - and read through the entire paper at least once before you start entering your answer.
There are TWO sections in this paper. Answer ALL TEN questions in Section A (40 marks in total) and ALL FOUR questions in Section B (60 marks in total).
Answer each whole question in a separate booklet.
Approved scientific (non-graphical) pocket calculators are allowed.
Previous exam papers can be found in the University’s past papers archive. Please note that previous exam papers may not have operated under the same exam rubric or assessment weightings as those for the current academic year. The content of past papers may also be different.