MSc in Business Administration and Innovation in Health Care
Managerial Statistics for Innovation
About the course
What you will learn
The objective is to introduce the basics of descriptive and inferential statistics for management applications and build both a theoretical foundation and a practical knowledge about how to implement statistics in real analysis-based situations. A proper correspondance between the research question being asked, the data available or collected to investigate that particular problem, and the statistical methods applied for the analysis is emphasized in the course. In this course 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. Thus, attendants will apply statistical concepts to real data and touch upon typical data-analyst challenges and solutions. To be awarded the highest mark (12), the student, with no or just a few insignificant shortcomings, must fulfill the following learning objectives:
- Understand the theoretical foundations of descriptive statistics
- Understand the theoretical foundations of inferential statistics
- Apply in practice descriptive statistics using real data
- Apply in practice inferential statistics using real data