# EC124: Statistical Techniques B

• #### Jeremy Smith

12/15 CATS - Department of Economics
Summer Module
Spring Module

### Principal Aims

12 CATS

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 skills and techniques for analysing data.

15 CATS

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

12 CATS

Students will acquire the tools of quantitative methods necessary to study core and optional first and second year modules in economics.

Students will develop further their techniques of statistical methods and statistical modelling.

Students will generate an awareness and analysis of data and of data handling.

15 CATS

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, V7ML - Year 1, R2L4 - Year 1
Optional Core Module
L1L8 - Year 1, R9L1 - Year 1, R3L4 - Year 1, R4L1 - Year 1, R1L4 - 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
12 CATS - Coursework (30%) + Online Examination (70%) 15 CATS - Coursework (40%) + Online Examination (60%)
Coursework Details
12 CATS: Online Examination (70%) , Set of 6 problem sets (6%) , Test 1 (12%) , Test 2 (12%)
15 CATS: 1200 word Statistical Project (20%) , 5 x problem sets (10%) , Online Examination (60%) , Test (10%)
Exam Timing
Summer

### Exam Rubric

Time Allowed: 2 hours