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IX1504 Descriptive Statistics 7.5 credits

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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 IX1504 (Autumn 2008–)
Headings with content from the Course syllabus IX1504 (Autumn 2008–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

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

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

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

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.

If the course is discontinued, students may request to be examined during the following two academic years.

Other requirements for final grade

Written exam (TEN1; 3.5hp)Problem assignments (INL1; 4hp)

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

ICT/Communications Systems

Main field of study

Mathematics, Technology

Education cycle

First cycle