- Statistics: Descriptive statistics.
- Sets and combinatorics. Probability theory, basic notations.
- Sample spaces, dependent and independent events. Conditional probability. The theorem of total probability.
- Stochastic variables. Expected value, variance and standard deviation.
- Discrete stochastic variables.
- Uniform, hypergeometric distribution.
- The binominal and Poisson distributions.
- Continuous random variables. Uniform distribution, exponential and normal distribution
- Functions of random variables. The central limit theorem.
- Point estimation and confidence intervals for means.
- Covariance, correlation, regression line
- Markov chains
- Introduction to M/M/m queueing systems
HF1012 Mathematical Statistics 6.0 credits
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Application
For course offering
Spring 2025 Start 17 Mar 2025 programme students
Application code
60557
Headings with content from the Course syllabus HF1012 (Spring 2019–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
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Literature and preparations
Specific prerequisites
Mathematics corresponding to Linear algebra and calculus in one variable.
Recommended prerequisites
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Equipment
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Literature
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Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
A, B, C, D, E, FX, F
Examination
- LAB1 - Lab Work, 2.0 credits, grading scale: P, F
- TEN1 - Examination, 4.0 credits, grading scale: A, B, C, D, E, FX, 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.
Opportunity to complete the requirements via supplementary examination
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Opportunity to raise an approved grade via renewed examination
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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
Main field of study
This course does not belong to any Main field of study.
Education cycle
First cycle
Add-on studies
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Contact
Jonas Stenholm (ojs@kth.se)