This course has been discontinued.
Last planned examination: Autumn 2020
Decision to discontinue this course:No information inserted
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.
Content and learning outcomes
Basic concepts like probabilities, conditional probabilities and independent events. Discrete and continuous random variables, especially one dimensional random variables. Measures of location, scale and dependency of random variables and data sets. Common distributions and models: normal, binomial and Poisson distribution. Central limit theorem and Law of large numbers.
Point estimates and general methods of estimation as the method of maximum likelihood and least squares. General confidence intervals but specifically confidence intervals for mean and variance of normally distributed observations. Confidence intervals for proportions, difference in means and proportions.
Testing statistical hypothesis. Chi2-test of distribution, test of homogeneity and contingency. Linear regression.
Intended learning outcomes
To pass the course, the student should be able to do the following:
- construct elementary statistical models for experiments
- describe standard models and explain the applicability of the models in given examples
- define and calculate descriptive quantities like expectation, variance, and percentiles for distributions and data sets.
- with standard methods calculate estimates of unknown quantities and quantify the uncertainty in these estimates
- value and compare methods of estimation
- analyse how measuring accuracy affect conclusions and quantify risks and error probabilities when testing statistical hypothesis
To receive the highest grade, the student should in addition be able to do the following:
- Combine all the concepts and methods mentioned above in order to solve more complex problems.
Literature and preparations
Basic differential and integral calculus.
Blom et al. Sannolikhetslära och statistikteori med tillämpningar, Studentlitteratur
Complemental material from the department.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- TEN1 - Examination, 6.0 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.
Other requirements for final grade
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
- 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 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 SF1901