Descriptive statistics; measures of central tendency and measures of dispersion, Probability and probability distributions; the Binomial distribution, the Normal distribution. Statistical inference theories; sampling, estimation and hypothesis testing. 2-analysis. Regression and correlation. Analysis of variance. Non-parametrical methods; Mann-Whitney U-test, sign test, Fischer’s exact test.
FAH3451 Applied Statistics 7.5 credits
Information per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FAH3451 (Spring 2019–)Headings with content from the Course syllabus FAH3451 (Spring 2019–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
The aim of the course is to give the students an understanding of fundamental principles in statistics and ability to choose the right statistical method for a given situation. After completing the course, the students should be able to independently carry out a statistical project work within their own research area.
Literature and preparations
Specific prerequisites
The course is open for students from all programs and requests knowledge corresponding to the basic course in mathematics/statistics at KTH (7,5 hp).
Literature
Johnson. Miller & Freund´s Probability and Statistics for Engineers. Prentice-Hall (2011)
Examination and completion
Grading scale
P, F
Examination
- INL1 - Homework, 7.5 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
If the course is discontinued, students may request to be examined during the following two academic years.
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Education cycle
Third cycle