The overall purpose of the course is that the student should be well acquainted with basic concepts, theory, models and solution methods in probability theory and statistical inference.
Select the semester and course offering above to get information from the correct course syllabus and course offering.
Basic concepts such as probability, conditional probability and independent events. Discrete and continuous random variables, in particular one dimensional random variables. Measures of central tendency, dispersion and dependence of random variables and data sets. Common distributions and models, such as the normal, binomial and Poisson distributions. The Central limit theorem and the Law of large numbers.
Descriptive statistics.
Point estimates and general methods of estimation, such as maximum likelihood estimation and the method of least squares. General confidence intervals and in particular confidence intervals for the mean and variance of normally distributed data. Confidence intervals for proportions and for difference in means and proportions.
Statistical hypothesis testing. Chi2-tests of goodness of fit, homogeneity and independence. Linear regression.
To pass the course, the student should be able to
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Active participation in SF1673 Analysis in one variable or SF1625 Calculus in one variable.
SF1672 Algebra and Geometry, SF1674 Calculus in Several Variables
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Blom et al., Sannolikhetsteori och statistikteori med tillämpningar, Studentlitteratur
Complemental material from the department.
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.
The examiner decides, in consultation with KTHs Coordinator of students with disabilities (Funka), about any customized examination for students with documented, lasting disability.
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Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.
Course web SF1922Technology
First cycle
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Tetyana Pavlenko (pavlenko@kth.se)
Only for students enrolled in th Degree Programme in Engineering Physics (CTFYS).