Module Description

Module: Applied Statistics

Courses:

TitleTypeHrs/WeekPeriod
Applied StatisticsLecture2Winter Semester
Applied StatisticsRecitation Section (small)1Winter Semester
Applied StatisticsProject-/problem-based Learning2Winter Semester

Module Responsibility:

Prof. Michael Morlock

Admission Requirements:

None

Recommended Previous Knowledge:

Basic knowledge of statistical methods

Educational Objectives:

Professional Competence

Theoretical Knowledge

Students can explain the statistical methods and the conditions of their use.

Capabilities

Students are able to use the statistics program to solve statistics problems and to interpret and depict the results

Personal Competence

Social Competence

Team Work, joined presentation of results

Autonomy

To understand and interpret the question and solve

ECTS-Credit Points Module:

6 ECTS

Examination:

Written exam

Workload in Hours:

Independent Study Time: 110, Study Time in Lecture: 70


Course: Applied Statistics (Lecture)

Lecturer:

Michael Morlock

Language:

German & English

Period:

Winter Semester

Content:

The goal is to introduce students to the basic statistical methods and their application to simple problems. The topics include:

•          Chi square test

•          Simple regression and correlation

•          Multiple regression and correlation

•          One way analysis of variance

•          Two way analysis of variance

•          Discriminant analysis

•          Analysis of categorial data

•          Chossing the appropriate statistical method

•          Determining critical sample sizes

Literature:

Applied Regression Analysis and Multivariable Methods, 3rd Edition, David G. Kleinbaum Emory University, Lawrence L. Kupper University of North Carolina at Chapel Hill, Keith E. Muller University of North Carolina at Chapel Hill, Azhar Nizam Emory University, Published by Duxbury Press, CB © 1998, ISBN/ISSN: 0-534-20910-6


Course: Applied Statistics (Recitation Section (small))

Lecturer:

Michael Morlock

Language:

German & English

Period:

Winter Semester

Content:

The different statistical tests are applied for the solution of realistic problems using actual data sets and the most common used commercial statistical software package (SPSS).

Literature:

Student Solutions Manual for Kleinbaum/Kupper/Muller/Nizam's Applied Regression Analysis and Multivariable Methods, 3rd Edition, David G. Kleinbaum Emory University Lawrence L. Kupper University of North Carolina at Chapel Hill, Keith E. Muller University of North Carolina at Chapel Hill, Azhar Nizam Emory University, Published by Duxbury Press, Paperbound © 1998, ISBN/ISSN: 0-534-20913-0


Course: Applied Statistics (Project-/problem-based Learning)

Lecturer:

Michael Morlock

Language:

German & English

Period:

Winter Semester

Content:

The students receive a problem task, which they have to solve in small groups (n=5). They do have to collect their own data and work with them. The results have to be presented in an executive summary at the end of the course.

Literature:

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