310051 Statistik II (V) (SoSe 2016)
Contents, comment
-
klassisches Programm der Veranstaltung:
Verteilung von Maßzahlen
Schätzfunktion und deren Eigenschaften
Punktschätzung
Intervallschätzung
Testen
ModellierenWie 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
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Gegenstände der Statistik I werden als bekannt vorausgesetzt.
Bibliography
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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 | |
|---|---|---|---|---|---|
| weekly | Mi | 10-12 | H4 | 11.04.-22.07.2016
not on: 7/20/16 |
einmalig am 20.07.2016 in H12 |
| one-time | Mi | 10:00-12:00 | H12 | 20.07.2016 | einmalig am 20.07.2016 in H12 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 25-FS-EM Einführungsmodul | E2: Einführende Veranstaltung aus den Fakultäten | Student information | |
| E3: Einführende Veranstaltung aus den Fakultäten | Student information | ||
| 25-FS-GM Grundlagenmodul | E2: Einführende Veranstaltung aus den Fakultäten | Student information | |
| E3: Einführende Veranstaltung aus den Fakultäten | Student information | ||
| 31-M3 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 | |
|---|---|---|---|---|---|---|---|
| Frauenstudien | (Enrollment until SoSe 2015) | ||||||
| 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
- E-Learning Space
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- Registered number: 362
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- Friday, December 11, 2015
- Last update times:
- Tuesday, July 12, 2016
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- Tuesday, July 12, 2016
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 2
- Department
- Faculty of Business Administration and Economics
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