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February 10th, 2015, 12:47 PM   #1
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Economics Assignment

This is a 15-credit first year module intended primarily for those studying for a degree in Economics.

Aims and Objectives: The purpose of this course is to introduce students to rigorous statistical data analysis and to lay foundations for further study. On successful completion of this module students will understand the core ideas behind quantitative techniques, have acquired the basic quantitative methods and skills employed in analysing economic (and non-economic) data, have developed transferable analytical and critical skills required to apply statistical analysis to new situations, and be able to implement such analyses on modern software. The module aims to provide training in the use of two types of software: a spreadsheet (Excel) and to a more general statistical package (EViews).

Pre-requisites: It is assumed that students have familiarised themselves with introductory statistics and related Software, general use of PCs, the Windows Environment, word processing and the Internet as covered the course in the autumn term.

Books and other Sources of Information The textbook continues to be 'Quantitative Methods for Business, Management & Finance' by Louise Swift and Sally Piff, Palgrave, 2nd edition, 2005. In addition, it is suggested that the students read the summary lecture notes. These and other relevant information can be downloaded from CitySpace. Please note that while the web notes may well complement the lectures, they are certainly not complete by themselves and do not substitute the latter.

Structure: Lectures will be held on Mondays 4 p.m. – 5:50 p.m. Weekly classes will follow the lectures. Each class is of fifty-minute duration. Discussions and work in classes will be specific to the software or directly related to the statistical topics in the lectures.

Assessment Student performance will be evaluated as follows, subject to a satisfactory amount of class work completed (see below):
End of Term Examination: 80% weight
Coursework: 20% weight
The examination will be held at the end of the academic year in April/May. A minimum overall average of 40% (pass marks) as well as a minimum of 30% marks in each of the assessment components must be obtained in the exam and the coursework. Promotion to the second year requires the student to meet these requirements.

Topic 1: Sampling distribution: random and non-random sampling; sampling distribution of (i) the sample mean (ii) sample proportion (iii) difference of sample means and (iv) difference of sample proportions; application of the theory; the central limit theorem (CLT) and its significance (Lectures and Classes) Use of Excel/EViews to aid and illustrate CLT (lab) Use of Excel/EViews to understand sampling (lab): Text: Chapter S1

Topic 2: Estimation: point and interval estimates of population parameters (mean, standard deviation, etc.); confidence intervals (Lectures and Classes): Text: Chapter S1

Topic 3: Hypothesis testing: parametric tests- of population mean, proportion, difference of means and proportions (Lectures and Classes) Using EViews to do the above (lab): Text: Chapter S2, S5, S6

Topic 4: Relationships between two random variables; contingency tables, scatter plots and lines of best fit; the theory of ordinary least square (OLSQ) regression; parametric and non-parametric tests of correlation coefficients and coefficients of OLSQ regression (Lectures and Classes) Using Excel/EViews to do the above (lab): Text: Chapter S3

Topic 5: Index numbers: Construction of various indices (Lectures and Classes) Using EViews to demonstrate how changes in component prices affect the value of the Retail Price Index (RPI) (lab): Text: Chapter DD
Classwork: It is important that students attend classes and benefit from them. Students are therefore required to submit their classwork through CitySpace at the end of the final class of the term. Please note that late submission will not be accepted. Students are allowed a maximum of TWO unexcused absences per term. The submitted work should therefore provide evidence that the student attendance has been satisfactory. For each unexcused absence over and above the maximum allowed, one third of the coursework mark for that term will be deducted. This naturally implies that any student being absent (unexcused) for five or more classes will obtain a zero mark in the relevant coursework.
Policy on late attendance: Students are expected to come to classes on time. The time will be noted for each late arrival. The record of attendance will be submitted to the exam board at the end of the year. When the lateness is unacceptable, the student will be marked 'absent' for that particular class. Only the exam board will have the final say on this matter.

Last edited by skipjack; February 12th, 2015 at 06:23 PM.
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February 10th, 2015, 03:46 PM   #2
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Where does this come from, and are you doing this module as part of a degree course in Economics? If you are, did you do statistics in school?
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February 11th, 2015, 10:02 AM   #3
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Just try to share some info about Economic course, I didn't do statistics in school. It was a very hard module.
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