Last modified: 22 May 2019 17:07
This course aims to provide students with an understanding of statistical concepts and methods relevant to accounting, management, finance, real estate and economics. The course is intended to enable students
i) To understand the principles of descriptive statistics, index construction, statistical inference, correlation, regression and time series analysis
ii) To apply statistical techniques to the analysis of accounting, business and economic issues and interpret findings
iii) To identify important sources of data in accounting, business and economics
|Session||Second Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
The course provides an introduction to the following concepts in an accessible and straightforward manner: Graphical techniques for summarising data; Summary descriptive measures of central location and variability; Index numbers; Probability and probability distributions; Confidence intervals; Hypothesis testing; The X2 and F distributions; Correlation; Regression analysis Time series analysis and forecasting
This is the total time spent in lectures, tutorials and other class teaching.
1st Attempt: 1 two-hour examination (70%); continuous assessment (30%) consisting of an in-course test (10%) and a graded written assignment (20%) of 1,500 words in length.
Resit: 1 two-hour examination (100%).
This will take place via weekly tutorial exercises and in the computer workshops.