# TMA4255 - Applied Statistics

### Examination arrangement

Examination arrangement: Portfolio assessment

Evaluation Weighting Duration Grade deviation Examination aids
Work 20/100
School exam 80/100 4 hours C

### Course content

Hypothesis testing. Simple and multiple linear regression. Model choice. Experimental design, including two-level factorial design. Error propagation formula. Analysis of variance. Process control. Contingency tables. Non-parametric methods. Use of statistical computer package.

### Learning outcome

1. Knowledge. The student has a good basic understanding of the most popular statistical models and methods that are used in science and technology. This includes testing of hypotheses, linear regression, experimental design, analysis of variance, error propagation, process control, analysis of contingency tables and non-parametric methods. 2. Skills. The student knows how to design an experiment to study a phenomenon of interest. Further, he or she knows how to collect informative data of high quality, and subsequently to analyse the collected data using statistical software. The student knows how to present the results from the statistical analyses to colleagues within his or her field of study, and how to use the results of the statistical analysis to draw conclusions about the phenomenon under study.

### Learning methods and activities

Lectures, exercises and works (projects). Portfolio assessment is the basis for the grade awarded in the course. This portfolio comprises a written final examination (80%) and works (projects) (20%). The results for the constituent parts are to be given in %-points, while the grade for the whole portfolio (course grade) is given by the letter grading system. Retake of examination may be given as an oral examination. The lectures may be given in English. If the course is taught in English, the exam may be given only in English. Students are free to choose Norwegian or English for written assessments.

• Work

### Further on evaluation

In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken. For more information about grading and evaluation, see «Teaching methods and activities».

### Specific conditions

Compulsory activities from previous semester may be approved by the department.

### Course materials

Will be announced at the start of the semester.

### Credit reductions

Course code Reduction From To
SIF5066 7.5
ST2202 7.5
TMA4260 7.5 SPRING 2006
TMA4267 5.0 AUTUMN 2008
ST2304 7.5 AUTUMN 2010
More on the course
Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2022

Language of instruction: English, Norwegian

Location: Trondheim

Subject area(s)
• Statistics
• Technological subjects
Contact information
Course coordinator:

Department of Mathematical Sciences

# Examination

#### Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system
Spring ORD Work 20/100
Spring ORD School exam 80/100 2022-05-12 15:00
• * 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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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