## APME70-Quantitative Methods

Module Provider: APD
Number of credits: 20 [10 ECTS credits]
Level:7
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites: Intermediate Algebra
Co-requisites:
Modules excluded:
Module version for: 2016/7

Module Convenor: Dr Garth Holloway

Summary module description:

Aims:
This is a module in quantitative methods designed to familiarise students with the rigorous application of statistical and mathematical reasoning and the uses of econometrics and mathematical economics as tools for problem solving. Emphasis is on the application of the tools rather than the theory underlying their application.

Assessable learning outcomes:
It is intended that the students who pass this module are able to use the normal-linear regression model and explain the foundations for its use in solving empirical problems in agricultural economics, business and marketing.

Practical application of the normal linear model in applied business settings using real data. Ability to distinguish between appropriate and inappropriate applications of the model in real-world settings.

Outline content:
Lecture 1
Introduction to Quantitative Methods
Why study quantitative methods ?
Syllabus
Course Structure
Organization
Laboratories
Software
The Role of Econometrics In Economic Analysis
Some Basic Probability Concepts
Lecture 2
The Simple Linear Regression Model
Lecture 3
Properties of the Least Squares Estimators
Inference in the Simple Linear Regression Model:
Interval Estimation, Hypothesis Testing and Prediction
Lecture 4
Test I
Lecture 5
The Simple Linear Regression Model:
Reporting Results and Choosing the functional Form
Lecture 6
The Multiple Regression Model:
Specification and Estimation
Lecture 7
Test II
Lecture 8
Hypothesis Tests and the Use of Nonsample Information
Lecture 9
Extensions of the Basic Linear Regession Model
Lecture 10
Test III

Brief description of teaching and learning methods:
Web, whiteboard and projection media are all used to exchange learning inputs in this module. There are laboratory sessions that include one-to-one interactions between student and instructor.

Contact hours:
 Autumn Spring Summer Lectures 20 Practicals classes and workshops 20 Guided independent study 160 Total hours by term 200.00 Total hours for module 200.00

Summative Assessment Methods:
 Method Percentage Class test administered by School 100

Other information on summative assessment:
Relative percentage of coursework: 100% 3 Tests

Formative assessment methods:
Problem sets will be assigned on a regular basis but will not be graded. However, completion of these assignments is intended to prepare students for the three modular tests.

Penalties for late submission:
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Length of examination:

Requirements for a pass:
50% overall.

Reassessment arrangements:
By coursework.