Applied statistical methods and data analysis
About the course
The course is mandatory for master students in Aviation. It may also be taken independent of study program upon approval of the Department of mathematics and statistics.
The course provides an introduction to statistical methods with applications in data analysis and quantitative research.
Admission requirements
Objectives of the course
The student will obtain knowledge of:
- the most common probability distributions.
- fundamental concepts in statistical inference, including point and interval estimation, hypothesis testing and statistical significance.
- fundamental theory for multiple linear regression and analysis of variance (ANOVA).
The student will be able to:
- give descriptive statistics to summarize a data set.
- perform one- and two-sample analysis, multiple regression and analysis of variance using statistical software like R.
- interpret the results of a statistical analysis.
- discuss and evaluate the limitations and strengths of statistical analyses.
The student will obtain competence to:
- read and understand statistical analyses within relevant fields of study.
- choose relevant statistical methods to analyse a given data set
- communicate and disseminate the results from statistical analyses.
Prerequisites
Anbefalte forkunnskaper
STA-0001 Applied statistics 1
Credit reduction
If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:
- SVF-3044 Quantitative Methods 10 ects
- SVF-3004 Quantitative research methods I 10 ects
Teaching methods
Recommended reading/syllabus
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Pensumliste for STA-3301 Applied statistical methods and data analysis - HØST 2024Information to incoming exchange students
Examination
| School exam | Date: 11.12.2024 09:00 Duration: 4 Hours |
Grade: A–E, fail F |
To take an examination, the student must have passed the following coursework requirements
| Mandatory assignments | Grade: Approved – not approved |
Everything you need to know about before, during, and after the exam; registration, absence, appeals, and diplomas: UiT Exams homepage
