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Syllabus

PNS0178 Statistics I: Basic Statistics, 4.0 Credits

Subjects

Mathematical Statistics

Education cycle

Postgraduate level

Grading scale

Language

English

Prior knowledge

None

Objectives

The objective of the course is to give an introduction to basic probability theory and statistical inference. On completion of the course, the student will be able to:

• apply basic probability concepts and statistical principles and formulate a problem in statistical terms

• describe common statistical methods including conditions and assumptions

• select an appropriate statistical method for a given problem

• carry out a basic statistical analysis in the statistical software R or SAS

• interpret and evaluate results correctly and draw reasonable conclusions

• clearly and concisely communicate results and conclusions

Content

The course is built on lectures and computer exercises. The main components are as follows:

• Descriptive statistics.

• Basic probability theory.

• Probability distributions.

• Statistical inference of means and proportions, one and two samples.

• Nonparametric methods.

• Analysis of frequency data.

Responsible department

Department of Energy and Technology