Courses Bachelor Display 2021-2022
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| Course title | QM Emerging Markets | |||||||||||||||||||||||||||||||||||||||
| Course code | EBS2064 | |||||||||||||||||||||||||||||||||||||||
| ECTS credits | 4,0 | |||||||||||||||||||||||||||||||||||||||
| Assessment | Whole/Half Grades | |||||||||||||||||||||||||||||||||||||||
| Period |
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| Level | Introductory/Intermediate | |||||||||||||||||||||||||||||||||||||||
| Coordinator |
Christian Kerckhoffs For more information: c.kerckhoffs@maastrichtuniversity.nl |
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| Language of instruction | English | |||||||||||||||||||||||||||||||||||||||
| Goals |
- 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. |
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| Description |
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.
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| Literature |
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.
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| Prerequisites |
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.
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| 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 |
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