URL study guide

https://studiegids.vu.nl/en/courses/2024-2025/E_PM_STAT

Course Objective

The course builds on the mathematics that has been offered at high school ("Wiskunde A or B"). After completing this course, the student is expected to a) understand the basic idea of data and descriptive statistics (mean, median, variance, quartiles, etc.); b) understand the basic ideas of probability (selected discrete and continuous probability distributions and their properties); c) understand the principles of sampling, a sampling distribution, and a confidence interval; d) understand the principles of hypothesis testing; e) be able to select and apply an appropriate statistical test in frequently occurring situations (t-test, F-test, paired, unpaired, parametric, non-parametric); f) understand and apply ANOVA (1-way, 2-way); g) understand and apply regression analysis (simple, multiple, with dummy variables, interaction and non-linearities, multicollinearity), and to test the model requirements and residuals. After successfully completing this course the student is able a) to read and write texts in which statistics occurs; b) to use standard software for solving statistical problems.

Course Content

In the course ‘Statistics’, the basic skills in statistical thinking and working will be treated. Such skills are essentials to solving problems related to, for instance, economical, marketing and financial data.

Teaching Methods

The course consists of approximately 2 hours sessions over a period of six weeks. Each session will be a mixture of lectures with the purpose of exposing the subject matter, and instruction sessions with the purpose of helping students doing exercises.

Method of Assessment

The assessment consists of a written exam and an individual assignment to be made with the use of statistical software.

Literature

Doane, David P. en Lori E. Seward (2022), Applied Statistics in Business & Economics, seventh edition, McGraw-Hill Supplemental documents via Canvas

Additional Information

For this course we use computer software that is available on the computers on the VU campus.

Explanation Canvas

All course material will be published on Canvas.
Academic year1/09/2431/08/25
Course level6.00 EC

Language of Tuition

  • English

Study type

  • Premaster