# 3403728: Checking and estimation

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Semester:WS 12/13
Type:Lecture
Language:English
Scheduled in semester:1
Semester Hours per Week / Contact Hours:20.0 L / 15.0 h
Self-directed study time:45.0 h

## Curricula

Master's degree programme in IT and Business Process Management (01.10.2008)

## Description

Distributions

• Binomial, normal, t-, chi-square, f-distribution
• Characteristics of the normal distribution
Key concepts in the testing of hypotheses
• Null hypothesis and alternatives
• First and second degree errors
• Critical values, acceptance and critical region
• P-value
• Conficence interval
• OC-characteristics
Criteria for the determination of the sample size
• Accuracy of the estimation
• Second degree errors
• Expectancy value of costs resulting from errors
Testing procedures and their application
• Z-, t-, f-, chi-square test
• Rank-sum-test

## Lecture Goals

In the lecture testing and estimating students learn basic concepts for the testing of hypothesis and and estimating of parameters in core standard procedures. The acquainted competences for the individual learning contents are as follows:

Students are aware of the distributions and their characteristics in the context of the most important statistical testing procedures. They are able to apply testing procedures practically for the interpretation of economical issues using the specific terminology of these methods. They are able to interpret elaborated results correctly and they know about the constraints their statements might have. Students are particularly abe to apply thee approached in order to determin the sample size in a specific study.

## Lectures Method

Interaktive Vorlesungen

## Literature

Pflichtliteratur:

• Schira, J. (2005): Statistische Methoden der VWL und BWL, 2. Aufl., Pearson.

Wahlliteratur:
• Fahrmeir, L.; Künstler, R.; Pigeot, I.; Tutz, G. (2007): Statistik, 6. Aufl., Springer.

• Kreyszig, E. (1979): Statistische Methoden und ihre Anwendun-gen. Vandenhoeck & Ruprecht, Göttingen.

• Saunders, M.; Lewis, P.; Thornhill, A. (2003): Research Methods for Business Students. Pearson, Harlow.

• Stahel, W.A. (2002): Statistische Datenanalyse, 4. Aufl., Vieweg.

## Materials

Den Studierenden werden zusammenfassende Folien und/oder ein Kurzskript sowie Übungsaufgaben zur Verfügung gestellt.

## Dates

 Datum Zeit Raum 20.09.2012 08:00 - 12:00 H5 (Fabrikweg) 29.09.2012 09:00 - 13:00 S1 12.10.2012 08:00 - 12:00 H5 (Fabrikweg) 26.10.2012 08:00 - 12:00 H5 (Fabrikweg)