TR200102 Statistics

Course Code
TR200102

Course Name
Statistics

Credits
6.00

Target Audience
Second year nautical students and marine engineering students.

Prerequisites xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph>Minimum college entrance requirements with additional 2MX/2MN (2 years of Mathematics in upper secondary school, general subjects).</paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' >

Minimum college entrance requirements with additional 2MX/2MN (2 years of Mathematics in upper secondary school, general subjects).

Objectives xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph>After completing the course the students should have an understanding of correct data treatment and how statistical methods may be used in a planning, control, assessment and decision phase.</line>The students should be familiar with the modelling aspect, central terms and solution methods, and they should</line>- be able to do basic probability calculations,</line>- be able to calculate location and variance measures,</line>- be able to treat different types of discrete and continuous distributions,</line>- be able to test hypothesis,</line>- be able to do linear regression analysis and correlation,</line>- be able to use simulation to determine properties regarding a statistic,</line>- be familiar with Shewhart control diagrams and be able to asses sources for variability.</paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' >

After completing the course the students should have an understanding of correct data treatment and how statistical methods may be used in a planning, control, assessment and decision phase.
The students should be familiar with the modelling aspect, central terms and solution methods, and they should
- be able to do basic probability calculations,
- be able to calculate location and variance measures,
- be able to treat different types of discrete and continuous distributions,
- be able to test hypothesis,
- be able to do linear regression analysis and correlation,
- be able to use simulation to determine properties regarding a statistic,
- be familiar with Shewhart control diagrams and be able to asses sources for variability.

Topics xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph>Descriptive statistics.</line>Discrete and continuous probability distributions.</line>Basic probability calculations.</line>Estimation.</line>Hypothesis testing.</line>Linear regression analysis and correlation.</line>Simulation.</line>Process control, use of Shewhart control diagrams. </paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' >

Descriptive statistics.
Discrete and continuous probability distributions.
Basic probability calculations.
Estimation.
Hypothesis testing.
Linear regression analysis and correlation.
Simulation.
Process control, use of Shewhart control diagrams.

Instruction xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph>Lectures and computer laboratory. During the semester problems are given that the student should solve without help from the teacher.</paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' >

Lectures and computer laboratory. During the semester problems are given that the student should solve without help from the teacher.

Mandatory Assignments xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph></paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' > Evaluation xmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' ><paragraph>Written exam, 3 hours. It is compulsory to bring the problems and solutions to the exam.</paragraph></sxmlns:xhtml='http://ez.no/namespaces/ezpublish3/xhtml/' >

Written exam, 3 hours. It is compulsory to bring the problems and solutions to the exam.

Revised date
2004.03.03