Students are able to

• master basic statistical principles and ways of thinking
• apply basic methods of descriptive and inductive statistics
• design and create a meaningful online survey with respect to objectivity, validity and reliability
• select the statistical methods suitable to answer a research question and explain the advantages and disadvantages of these methods
• independently analyze data sets and interpret the results

None

• Descriptive statistics
• Probability distributions
• Inference Statistics Basics: Estimating and Testing
• Correlation / regression analysis
• Parametric and non-parametric comparisons of means
• Cluster analysis
• Principal component analysis
• Reliability analysis
• Questionnaire design, implementation with web-based survey tools and evaluation

Freedman D., Pisani R., Purves R.: Statistics. (4th Edition). W.W. Norton & Company , 2011. ISBN: 13-978-0-393-92972-0
Triola M., Triola M.: Biostatistics for the Biological and Health Sciences, Global Edition Pearson Verlag, 2018, ISBN: 978-1-292-22937-9

• Lectures
• Survey (design and carry out)
• Statistical evaluation of sample data sets and of the survey
• Project work

Integrated module examination
Final examination character:

• Exercises on example data sets to be done at home
• multiple-choice exam (with Moodle)