After successful completion of this course, students will be able to:
- Use discrete, continuous and joint probability distributions and calculate important characteristics such as expectation, variance and covariance.
- Use datasets and sampling theory to estimate means, proportions, and variances of one or two data populations and compare them using appropriate interval estimates and hypothesis tests.
- Construct suitable simple and multiple linear regression models and use these models for both prediction purposes and for drawing statistical conclusions by means of suitable interval estimates and hypothesis tests.
- Recognize problems and questions in (economic) texts and translate them to equivalent statistical questions.
- Carry out the above mentioned statistical analyses using the computer software SPSS and Excel.
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Course objectives
After successful completion of this course, students will be able to:
- Use discrete, continuous and joint probability distributions and calculate important characteristics such as expectation, variance and covariance.
- Use datasets and sampling theory to estimate means, proportions, and variances of one or two data populations and compare them using appropriate interval estimates and hypothesis tests.
- Construct suitable simple and multiple linear regression models and use these models for both prediction purposes and for drawing statistical conclusions by means of suitable interval estimates and hypothesis tests.
- Recognize problems and questions in (economic) texts and translate them to equivalent statistical questions.
- Carry out the above mentioned statistical analyses using the computer software SPSS and Excel.
Notification
Mark final exam has to be at least 5.0, unrounded final mark has to be at least 5.5 to pass this course. The procedure for the resit and the repeaters track will be made available on Canvas.
Preferred basic knowledge
Statistiek on HBO-level. |
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Contents
The following subjects will be discussed during this course:
- Elementary probability theory and statistics.
- Simple linear regression.
- Confidence intervals and hypothesis testing.
- Hypothesis testing with two samples.
- Multiple linear regression including model building.
Classes
12 weeks: weekly, 4 hour lecture, 2 hour instruction and 2 hour tutorial (question time).
Exams
Written final exam (60%) + 1 midterm (20%) + team assignment (20%). Participation in the team-assignment is mandatory for passing the course.
Literature
- Nieuwenhuis, Gert, Statistical Methods for Business and Economics, Mc.Graw-Hill, 2009, ISBN 9780077109875.
- (Computer) manual on SPSS/Excel, appears on Canvas.
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