914308 Methods of data collection, management and analysis

Lecture and exercise
Semester hours
Lecturer (assistant)
Offered in
Wintersemester 2022/23
Languages of instruction


*** Sampling Theory
• simple random sample
• Systematic sampling
• Stratified Samples
• Necessary sample size
*** Design of experiments
• Completely randomized design
• Block construction
• Latin square
• Partial and full factorial designs
*** Data Management
• Variable and scale types
• Standardized data structure
*** Descriptive Statistics
• Site dimensions
• Measures of scatter
• Correlation Measures
*** Hypothesis test
• one-sample t-test
• two-sample t-test
• Analysis of Variance
*** Stochastic models
• (Multiple) linear regression

Previous knowledge expected

Basics of mathematics and stochastics

Objective (expected results of study and acquired competences)

The students know and understand the basics of sampling theory and experimental design as well as the statistical methods presented in the course.
The students are able to select suitable methods for answering given questions and know the limits of these methods. They are able to apply the selected methods with the help of R and to interpret the results.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.