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Statistics

Semester: 3.
Credits: 5 CP
Duration: 1 Semester
Module Supervisor: Andreas P. Redecker
Contact hours: a) 2 SWS
b) 2 SWS
Selfstudy: 90 h
Group size: a) 75
b) 25
Learning Goals

Students can describe empirically obtained data and use such data to investigate or test hypotheses about the underlying problem in each case.

Contents

Mathematics provides a universal language and makes it possible to describe certain aspects precisely and thus make them accessible to an objective - i.e. in particular comprehensible - scientific analysis. Statistics plays an important role in this. Empirical research, such as that conducted in geography, is based on the collection of data. Such data are always subject to random errors, whether due to measurement errors or because only a certain number of individual measurements (observations) are available. An important task of statistics is to provide procedures for evaluating such data, including quantifying the degree of accuracy and reliability of the conclusions drawn from the data.

The module includes refreshing and deepening knowledge of mathematics, the introduction to scientific ways of thinking and working as well as the independent evaluation of data. The subjects are elementary arithmetic, descriptive statistics, elementary probability calculation, conclusive statistics and linear regression.

Teaching methods

Lecture, exercise

Mode of assessment

Exam (90 Min.)


Additional Information

Conditions for granting credit points

Passed examination performance

Usage of the module
Independent module in the B.Sc. degree programme Geography

Stellenwert der Note für die Endnote
The module grade is CP-weighted (5/180) and is included in the final B.Sc. grade

Lecturers
Dr. Nicolai Bissantz


Courses in Summer Semester 2024

No courses are scheduled for this semester.


Courses in Winter Semester 2023-2024

Please see information about possible changes in the Moodle course for the lecture.

Lecturers:Nicolai Bissantz
Course type:Lecture
Registration:Moodle

Registration for the Moodle course is expected to be possible from 01.09.-17.10.2023 without a password

Lecturers:N.N.
Course type:Seminar/tutorial
Registration:Moodle

Registration for one of the exercises takes place in the Moodle course of the course. Details can be found in the first lecture.