Teaching Responsibility
LJMU Schools involved in Delivery:
Liverpool Business School
Learning Methods
Workshop
Module Offerings
4001LBSAF-SEP-MTP
Aims
1. To introduce different data types and the approaches required for analysis.
2. To enable the student to appreciate the role of statistical and mathematical methods in a business environment.
3. To develop an awareness of the scope and limitations of quantitative analysis.
4. To enable the student to formulate and evaluate problems.
5. To facilitate basic forecasting and hypothesis testing for data sets.
6. To develop student skills in linear programming techniques.
7. To use computer packages for data analysis.
Learning Outcomes
1.
Calculate a range of basic financial measures.
2.
Identify different data types, manipulate data and carry out simple statistical analysis including presenting data using appropriate graphs.
3.
Calculate and use various location and dispersion measures, and explore data to enable decision making for example use of linear programming to optimize use of resources.
4.
Undertake analysis of data including simple forecast of bivariate data and, interpreting hypotheses using suitable significance tests.
Module Content
Outline Syllabus:Calculate a range of basic financial measures.
Introduction to data types, primary and secondary data sources, data presentation.
Measures of location and dispersion and their uses.
Confidence intervals, simple hypothesis tests.
Regression and correlation.
Probability.
Financial mathematics, compounding, discounting and investment appraisal.
Linear programming.
Index numbers.
Use of the Excel computer package.
Module Overview:
This module introduces basic mathematical and statistical concepts and relates them to business and accounting situations and provides a foundation for further studies in business and finance. The module will introduce different data types and approaches required for analysis and enable you to appreciate the role of statistical and mathematical methods in a business environment.
This module introduces basic mathematical and statistical concepts and relates them to business and accounting situations and provides a foundation for further studies in business and finance. The module will introduce different data types and approaches required for analysis and enable you to appreciate the role of statistical and mathematical methods in a business environment.
Additional Information:This module introduces basic mathematical and statistical concepts and relates them to business and accounting situations and provides a foundation for further studies in business and finance.
The test is a diagnostic assessment; whilst the examination is the terminal summative assessment.