310051 Statistik II (V) (SoSe 2015)

Contents, comment

klassisches Programm der Veranstaltung:
Verteilung von Maßzahlen
Schätzfunktion und deren Eigenschaften
Punktschätzung
Intervallschätzung
Testen
Modellieren

Wie in der Statistik I angekündigt wird (für die Studierenden nach dem neuen BA-Modell) auch in der Statistik II das Mitarbeits-Punkte-Modell umgesetzt.

Requirements for participation, required level

Gegenstände der Statistik I werden als bekannt vorausgesetzt.

Bibliography

Siehe: Semester-App.
Wolf, Naeve, Tiemann (2006): BWL-Crash-Kurs Statistik : aktiv mit R bzw.
aktuellere Online-Version z.B. über unsere Bibliothek
Fahrmeir (2010): Statistik : der Weg zur Datenanalyse
Schlittgen (2008): Einführung in die Statistik : Analyse und Modellierung von Date

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
one-time Di 10-12 H12 07.04.2015
weekly Di 10-12 H7 13.04.-17.07.2015

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Subject assignments

Module Course Requirements  
31-M3 Statistics Statistik Statistik II Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Studieren ab 50    

Instrumente der Datenanalyse wie: Boxplot, Histogramm, emp. Verteilungsfunktion, Stichproben-Mittel und Varianz, Median, Quantile, QQ-Plot usw.
Zufallsvariablen: Erwartungswert und Varianz, WS-Funktion, Dichtefunktion, Verteilungsfunktion, Wurzel-n-Gesetz, zentrale Grenzwertsätze
Bernoulli-, Binomial-, Poisson-, Exponential-, Normalverteilung
Wahrscheinlichkeiten, WS-Baum, etwas Kombinatorik

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Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Thursday, October 22, 2015 
Last update rooms:
Tuesday, March 24, 2015 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Department
Faculty of Business Administration and Economics
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53292114