3403728: Checking and estimation

Description

Distributions

• Binomial, normal, t-, chi-square, f-distribution
• Characteristics of the normal distribution

• Null hypothesis and alternatives
• First and second degree errors
• Critical values, acceptance and critical region
• P-value
• Conficence interval
• OC-characteristics

• Accuracy of the estimation
• Second degree errors
• Expectancy value of costs resulting from errors

• 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.

• 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.