914308 Methods of data collection, management and analysis
- Type
- Lecture and exercise
- Semester hours
- 1.5
- Lecturer (assistant)
- Ritter, Tim
- Organisation
- Offered in
- Wintersemester 2023/24
- Languages of instruction
- Englisch
- Content
-
*** Sampling theory
• Simple random sampling
• Systematic sampling
• Stratified sampling
• Necessary sample size
*** Experimental design
• Completely randomised design
• Randomised block design
• Latin square
*** Data management
• Variables and scales
• Standardised data structure
*** Descriptive statistics
• Location
• Dispersion
• Correlation
*** Inference statistics
• Single-sample t-test
• Double-sample t-test
• ANOVA
*** Stochastic models
• (multiple) linear regression
- Previous knowledge expected
-
Basics in mathematics and stochastics
- Objective (expected results of study and acquired competences)
-
Students know and understand the principals of sampling theory and experimental design as well as the statistical methods discussed in the course. They are able to choose appropriate methods for given problems and they know the limitations of these methods. Students are able to use the software package R, apply the discussed methods and interpret the results.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.