Course - Applied Statistics - MET2010
MET2010 - Applied Statistics
About
Examination arrangement
Examination arrangement: Assignment
Grade: Letter grades
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Assignment | 100/100 |
Course content
The course gives a practical overview of all the steps in a high quality statistical data analysis using modern computational tools. The course has a special emphasis on using simulation to understand and derive statistical quantities.
Topics covered in the course includes:
- Finding, importing and cleaning data
- Transforming, manipulating and combining datasets
- Visualizing data and statistical relationships
- Estimating standard errors and confidence intervals for various statistics
- Repetition of simple linear regression and the least squares method
- Multiple linear regression models
- Estimating standard errors and confidence intervals for regression coefficients
- Model evaluation techniques
- Nonlinear regression: Quadratic and log-linear models
- Introduction to Bayesian theory and methods
- Logistic regression and GLM
- Time series models
- Identification and causal modelling
- Training in the use of Python and associated packages
Learning outcome
Knowledge
The course should provide the student with knowledge of some of the most commonly used types of statistical tests, basic knowledge of multiple regression analysis, and other components of a data analysis.
Skills
The student should be able to perform several types of statistical techniques and to use computer tools to analyze data using descriptive statistics, visualizations and multiple regression analysis.
General competence
The student should gain an understanding of all the steps involved in a high quality data analysis. The student should have a thorough understanding of the general principles for performing statistical tests and good knowledge about the possibilities and limitations of using multiple regression models.
Learning methods and activities
Digital and in-person lectures, labs and exercises.
Compulsory assignments
- Obligatorisk skriftlig innlevering
Further on evaluation
Mandatory assignments must be passed to gain entry to the exam. This is a group project assignment with up to 3 students per group. Students can hand in individually or in a group of 2 if they wish.
Mandatory assignment will be specified at semester start.
Specific conditions
Admission to a programme of study is required:
Business Administration (BØA)
Economics and Business Administration (MSIVØK5)
Recommended previous knowledge
Introductory courses in mathematics and statistics, MET1001 and MET1002 or equivalent.
Required previous knowledge
None.
Course materials
The final syllabus is announced at the beginning of the semester.
Credit reductions
Course code | Reduction | From | To |
---|---|---|---|
ME220 | 6.0 | SPRING 2005 | |
ME220 | 6.0 | SPRING 2005 | |
ME210 | 6.0 | SPRING 2005 | |
SØK1005 | 4.0 | AUTUMN 2023 |
Version: A
Credits:
7.5 SP
Study level: Intermediate course, level II
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English
Location: Trondheim
- Statistics
- Economics and Administration
Examination
Examination arrangement: Assignment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
-
Autumn
ORD
Assignment
100/100
Release
2023-12-08Submission
2023-12-15
12:00
INSPERA
12:00 -
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"