# Statistical Analysis, 7.5 ECTS

First level## Facts

**Course code**MT4001

## Syllabus

**Special eligibility requirements**

Prerequisites for the course ia a course equivalent to Probability Theory 1 FC, 7.5 hp.

## Description

Statistical analysis is about how you in the most effective way describe and draw conclusions from different types of data material which in some way has been observed, measured or in any other way been collected from reality. Most often these kinds of data material demonstrate a certain natural inside variation which you then try to desribe with the help of some probability theoretical model. The conclusions we try to make can then be formulated in terms of the parameters which are included in the model, for instance the expected value and variance of a normal distribution. The classical methods which we go throughout the course concern estimation of the parameter value, including statistical incorrect percentages, and statistical hypothesis testing.

The course’s goal is to both transfer understanding for a statistical thinking process, and to teach basic methods of statistical analysis. This happens both theoretically through lectures and excercises, and practically through computer labs.

## Area of interests: Science and Mathematics

Science and mathematics help us understand how the world around us is connected – from the origin and structure of the universe, to the development and function of humanity and all other organisms on earth. Scientific knowledge makes it possible to critically examine the credibility of information in different areas of everyday life, society, and the media. As a scientist or mathematician, you will be attractive on a large job market that covers all parts of society and includes everything from pure technology companies to environment and healthcare, as well as research.

## Subject

### Mathematical Statistics

Mathematical statistics is the subject within applied mathematics that describes and analyses random events.

The foundation is the mathematical probability theory, which goes back to the 17th century, but has in its modern form developed mostly during the 20th century. Probability theory is also the foundation of statistical theory on how to draw conclusions from data with random features. The rise of computer technology has also significantly contributed to broadening the field of applications within mathematical statistics. Today is mathematical statistics one of the most powerful tools in applied mathematics.

Examples that apply mathematical statistics to a large extent are the insurance and finance sectors, biological and medical research (biostatistics) and industrial applications like telecommunications and quality control.

The department cooperates closely both in research and teaching with the pharmaceutical industry, medical institutions and banking and insurance companies. Depending on direction of studies, a student with an exam in mathematical statistics has a good chance to get employment in these sectors.

Mathematical statistics can be studied in elective courses, as a major in a Bachelor’s or Master’s degree or as a complementary subject. Courses cover both theory and applications in various areas. Mathematical statistics is included in the Bachelor’s programmes in Mathematics, Biomathematics and Mathematics and Economics and a major in the Master’s programmes in Mathematical statistics, Biostatistics, Finance mathematics and Finance and Actuarial science.

## Course events

### Autumn 2018

**Selection:**
No selection.

**Start period:**
Period 2 - starts during the second half of the semester

**Location:**
Stockholm

**Appl.code: SU-48118**

### Tuition fees only concern citizens outside the EU, EES and Switzerland

**Total course/programme fee:**
17500 SEK