EC124: Statistical Techniques B

Jeremy Smith
Module Leader

15 CATS - Department of Economics

Introduction

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 Aims

To develop undergraduate students' statistical and computing skills for analysing real world data: students will be given an introduction to advance statistical software packages and will learn about data description and analysis. This module will provide the requisite quantitative background for a thorough and rigorous study of economic analysis, econometric methods and applied economics subjects, commensurate with the single honours Economics course.

To offer a sufficient challenge for students who enter 果冻传媒 with a high grade in A-level mathematics and/or statistics.

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, L1N2 - Year 1, R2L4 - Year 1, R4L1 - Year 1, R1L4 - Year 1
Optional Core Module: LM1D (LLD2) - Year 1, L1L8 - Year 1, V7ML - 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: Coursework (30%) + In-person Examination (70%)
Coursework Details: 1200 word Statistical Project (20%) , In-person Examination (70%) , Participation (5%) , Quizzes (5%)
Exam Timing: Summer

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