Introduction to probability theorystatistical distributions, measures (location, spreading and dependence)data gathering and planning statistical surveysgraphical presentation in one and two dimensionstime seriespoint estimates, interval estimates, mean square error, systematic errorhypothesis testregression analysis, correlation
IX1504 Descriptive Statistics 7.5 credits
This course has been discontinued.
Last planned examination: Spring 2020
Decision to discontinue this course:
No information insertedCourse offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus IX1504 (Autumn 2008–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
GENERAL OBJECTIVES
After course completion the student should be able to
- formulate, analyze and solve problems in statistics significant to in the Economics sphere
- apply and develop statistical models with the aid of mathematical programming language
- review and comment a given solution to a problem
- comment domain and propose improvements to a statistical model
- make presentations of solutions of a statistical problem
DETAILED OBJECTIVES
After course completion the student should be able to
- apply basic statistical models to an experiment
- specify a standard model and comment the fitness for given data
- describe data with summary measures, such as mean, variance and covariance
- present data graphically in a suitable way
- compute point estimates and interval estimates
- compute correlation and regression line
- explain how errors influence conclusions and estimate the error risks in hypothesis testing
- explain the principles of statistical surveys and make a critical review statistical data
Literature and preparations
Specific prerequisites
Entrance qualifications:
IX1306 - Mathematics for Economic Applications
Recommended prerequisites
No information inserted
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
- INL1 - Problem Assignments, 4.0 credits, grading scale: P, F
- TEN1 - Examination, 3.5 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
Written exam (TEN1; 3.5hp)Problem assignments (INL1; 4hp)
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
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Examiner
No information inserted
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
Mathematics, Technology
Education cycle
First cycle
Add-on studies
No information inserted