Course content
The course will cover the basics of managerial statistics in order to provide the attendants with a solid basis on both descriptive and inferential statistics and build both a theoretical foundation and a practical knowledge about how to implement statistics in real analytical situations. The first part of the course will be focused on Descriptive Statistics, which will be based on the following main questions:
- How are data best described? Which type of data are we typically confronted with?
- How do we define a variable?
- What is a sample? What is the difference between sample and population?
- What are the central tendency characteristics of a variable?
- How can we describe the dispersion of a variable? And the shape of its distribution?
In the second part of the course, attendants will be introduced to foundations of Inferential Statistics, thus dealing with the following questions:
- What is an estimator?
- What is the difference between two groups? How to assess it?
- What is the relationship between two or more variables?
- How do we create predictions?
- How do we pick the correct estimator to predict our effect?
IIn terms of methods, the attendants will learn about foundations of statistics, in particular: descriptive statistics (i.e. summary statistics and graphical tools), hypothesis testing (t-test of means, differences in groups’ distributions, etc.), correlations, simple linear regression, and multiple regression analysis. Emphasis will be placed on interpretations of the statistics and applicability.
See course description in course catalogue