Last modified: 24 Jun 2020 14:31
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
Information on contact teaching time is available from the course guide.
Two online class tests (15% and 15%)
1 week assessment in week 39(70%)
Resit (for students who took the course in Academic Year 2020/21):
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|