LOG708 Applied Statistics (Autumn 2023)
- ECTS Credits:
- 7.5
- Responsible faculty:
- Avdeling for logistikk
- Campus:
- Molde
- Course Leader:
- Halvard Arntzen
- Teaching language:
- English
- Study level:
- {code=HN, name=Second degree level}
- Duration:
- ½ year
Table of contents
Contents
Descriptive Statistics. Random variables and probability distributions. Samples and populations, estimation and inference. Confidence intervals. Testing of statistical hypotheses. Significance levels and P - values.
Methods: T – tests, Z – test for proportions, basic regression analysis, dummy variables in regression, nonlinear regression models, simple forecasting. Other statistical methods may also be discussed.
Gaining familiarity with a statistical package (e.g. Stata, SPSS or R) will be a central part of the course.
Methods: T – tests, Z – test for proportions, basic regression analysis, dummy variables in regression, nonlinear regression models, simple forecasting. Other statistical methods may also be discussed.
Gaining familiarity with a statistical package (e.g. Stata, SPSS or R) will be a central part of the course.
The course is connected to the following study programs
- Master in Logistics
- Experience-based Master in Logistics
- Master in Economics and Business Administration
- Master in Sustainable Energy Logistics
- Exchange programme - Master's level
Recommended knowledge
A standard bachelor's level course in statistics is a highly recommended prerequisite. An intensive introduction (or fresh-up) course will be offered at the start of the semester.
Reduction of Credits
This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:
| Course | Reduction of Credits |
|---|---|
| MAT785 – Applied Statistics for Professional Practice. | 7.5 |
The student's learning outcomes after passing the exam
After finishing the course, the students should achieve the following learning outcomes
- Skills:
- use basic probability distributions for simple modeling and to find probabilities and moments
- use statistical software to effectively organize and present information extracted from data
- perform simple and multiple regression analysis with statistical software
- Knowledge
- about the theory of random variables, probability distributions and their use in statistical analysis
- about the theory of statistical hypothesis testing
- about basic regression analysis
- General competence
- give practical interpretations and present the results of statistical analyses in nontechnical terms
- understand the role of statistics as a tool for gaining scientific knowledge, and as a tool for planning and decision support
Forms of teaching and learning
Three hours of lectures per week, two hours of exercises per week.(Optional)
Coursework requirements - conditions for taking the exam
- Mandatory coursework: Assignment(s)
- Courseworks given: 3
- Courseworks required: 3
Exam
- Form of assessment: School assessment
- Proportion: 100%
- Duration: 4 hours
- Grouping: Individual
- Grading scale: Letter (A - F)
- Support material: All printed and written supporting material + calculator that may contain data
Pensum
Pensumoversikt
Last updated from FS (Felles studentsystem)
Oct. 14, 2026 4:40:01 AM