Programme/Approved Electives for 2023/24
None
Available as a Free Standing Elective
No
ECO-10027 Quantitative Methods II
This module is designed to introduce students to key concepts of statistics; and to illustrate them using the School's Bloomberg terminals, thus also enabling familiarity with the Bloomberg portal of information. The module will deliver the theoretical material in standard lectures, but it will adopt a clear hands-on approach in classes that will be held in the Bloomberg computer laboratory. In these classes, students will have the opportunity to become familiar with Bloomberg, derive economic and/or business and/or financial information from this portal, and apply their knowledge of statistics in relation to this information. The students will also prepare for their portfolio piece of coursework during these lab-based classes.
Aims
To revise key concepts of statistics introduced in ECO-10027, and to illustrate their practical applications using the Bloomberg Terminal, thus also enabling familiarity with the Bloomberg portal of information.
Talis Aspire Reading ListAny reading lists will be provided by the start of the course.http://lists.lib.keele.ac.uk/modules/eco-20049/lists
Intended Learning Outcomes
demonstrate understanding of key concepts of statistics, including the mean, variance, distribution and hypothesis testing: 1formulate problems and hypotheses in a statistical framework, and choose the appropriate tests to address them: 1apply the chosen statistical models and methods, evaluate the evidence and interpret the results of the statistical analysis: 1demonstrate the ability to use the Bloomberg information portal: 1
16 hours lectures8 hours tutorial computer lab classes30 hours portfolio preparation96 hours self study which includes practice of the skills taught on the module, reading of additional materials, thinking time and discussion of topics with other students.
Description of Module Assessment
1: Portfolio weighted 100%Portfolio of practical exercisesStudents are asked to submit a portfolio of 8 out of 8 practical exercises discussed during the module. One practical exercise will be discussed in each of the 8 seminars. The portfolio should be submitted at the start (Tuesday) of teaching week 12.