# Statistics

15 ECTS credits

The course is divided into four sections:

Gathering and exploring data:

This section covers various ways of compiling and presenting data (descriptive statistics), an introduction to gathering data is also given.

Probability, probability distributions and sampling distributions:

This section defines the concept of probability and introduces students to the laws of probability. The concepts of probability distributions and random variables is introduced as well as some of their properties. This section addresses the way in which a sample estimate, for example the sample mean, varies randomly between samples taken from the same population. This section also provides a foundation on which subsequent course segments are based.

Inferential statistics:

This section gives students an introduction to the properties of a point estimate for population means and proportions. Students are also taught how to construct and interpret a confidence interval. An introduction to a number of central concepts in hypothesis testing is also provided.

Analyzing associations:

This section introduces the methods used to analyze the association between categorical variables.

Gathering and exploring data:

This section covers various ways of compiling and presenting data (descriptive statistics), an introduction to gathering data is also given.

Probability, probability distributions and sampling distributions:

This section defines the concept of probability and introduces students to the laws of probability. The concepts of probability distributions and random variables is introduced as well as some of their properties. This section addresses the way in which a sample estimate, for example the sample mean, varies randomly between samples taken from the same population. This section also provides a foundation on which subsequent course segments are based.

Inferential statistics:

This section gives students an introduction to the properties of a point estimate for population means and proportions. Students are also taught how to construct and interpret a confidence interval. An introduction to a number of central concepts in hypothesis testing is also provided.

Analyzing associations:

This section introduces the methods used to analyze the association between categorical variables.

Progressive specialisation:
G1N (has only upper‐secondary level entry requirements)

Education level:
Undergraduate level

Admission requirements:
General admission requirements plus either
- field-specific eligibility A4 (upper secondary school level Mathematics 3b or 3c, Civics 1b or 1a1 + 1a2), barring Civics 1b or 1a1 + 1a2, or
- field-specific eligibility 4 (upper secondary school level English B, Mathematics C, Civics A) barring English B and Civics A.

Selection:

Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.

### This course is included in the following programme

- Programme in Business and Economics (studied during year 2)
- Political Science (studied during year 2)