Statistical Analysis of Thesis and Student Research Projects

Daten

Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2020-2021

Thematik

This course is for those students who are working on a student research plan or working on their thesis. They can process their own data and learn the theory of the applied statistical methods as well.

Vorlesungen

• 1. Set the data and complete the database for statistical processing - Borbásné Dr. Farkas Kornélia
• 2. Select the right statistical methods - Dr. Pótó László
• 3. Learn the theory of the selected methods - Dr. Pótó László
• 4. Interpret the results - Borbásné Dr. Farkas Kornélia
• 5. Interpret the results - Borbásné Dr. Farkas Kornélia
• 6. Conclusions - Borbásné Dr. Farkas Kornélia

Praktika

• 1. Set the data and complete the database for statistical processing
• 2. Select the right statistical methods
• 3. Learn the theory of the selected methods
• 4. Learn the theory of the selected methods
• 5. Interpret the results
• 6. Interpret the results

Seminare

Materialien zum Aneignen des Lehrstoffes

Obligatorische Literatur

Vom Institut veröffentlichter Lehrstoff

Own database

Skript

Empfohlene Literatur

Andrew F. Siegel: Statistics and Data Analysis. An introduction, John Wiley & Sons, 1988
Douglas G. Altman: Practical Statistics for Medical Research, Chapman & Hall, 1994
P. Armitage and G. Berry: Statistical Methods in Medical Research, Blackwell Science, 1994
Robert R. Sokal / F. James Rohlf: Biometry, W. H. Freeman and Company, New York, 1981

Voraussetzung zum Absolvieren des Semesters

Problem solving, oral report

Semesteranforderungen

Möglichkeiten zur Nachholung der Fehlzeiten

Consultation

Prüfungsfragen

Prüfer

Praktika, Seminarleiter/innen

• Borbásné Dr. Farkas Kornélia
• Dr. Pótó László