Courses Bachelor Display 2021-2022
|Course Description||To PDF|
|Course title||QM Emerging Markets|
For more information: email@example.com
|Language of instruction||English|
- Learn to recognize the opportunities to apply basic tools from inferential statistics in practical business situations.
- Learn to implement these tools correctly, using the statistical software package SPSS.
- Learn to interpret the results of such analyses correctly, and understand their limitations.
This skills training is devoted to refreshing and actively applying the basic inferential tools introduced in the statistics part of typical first year quantitative methods courses: a.o. the one-sample t-test, the independent-samples t-test, the paired-sample t-test, one-way-ANOVA, the chi-square test and regression analysis. Six case studies using real-life datasets that reflect business problems from a.o. marketing and finance are examined extensively. The empirical analyses are performed with SPSS, a statistical software package widely used in professional practice.
Sharpe, Norean R., De Veaux, Richard D., and Paul F. Velleman (2017), Business Statistics and Extra Texts, 3rd. Intern. Ed., New York: Pearson Education International.
Basic principles from inferential statistics as discussed in typical first-year Quantitative Methods courses such as QM1 (code EBC 1005/1006/1007) and QM2 (code EBC 1033/1034/1035): basic probability theory, population versus sample, sampling distribution, point estimation, confidence intervals, type I error, regression analysis.
|Teaching methods (indicative; course manual is definitive)||PBL / Lecture / Assignment|
|Assessment methods (indicative; course manual is definitive)||Attendance / Written Exam|
|Evaluation in previous academic year||For the complete evaluation of this course please click "here"|
|This course belongs to the following programmes / specialisations||