
Einführung in die Stochastik für Studierende des gymnasialen Lehramts Mathematik, SS2015, Vorlesung
| Publishes | Daily | Episodes | 27 | Founded | 10 years ago |
|---|---|---|---|---|---|
| Language | Categories | CoursesEducation | |||

01: Vorlesung | 00:01:45 Grundraum 00:07:34 Ereignis 00:11:55 Mengentheoretische Verknüpfungen von Ereignissen 00:28:58 Zufallsvariablen 00:52:42 Indikatorvariablen 01:04:44 Zählvariablen, Indikatorsummen
01: Vorlesung | 00:00:08 relative Häufigkeiten 00:07:04 diskreter Wahrscheinlichkeitsraum (vorläufig) 00:12:25 Folgerungen aus den Axoimen 00:29:48 Formel des Ein- und Ausschließens 00:39:52 Wahrscheinlichkeitsfunktion, Zähldichte 00:49:29 endlicher ... more
03: Vorlesung | 00:05:40 Permutationen 00:09:11 Kombinationen 00:12:53 Grundformeln der Kombinatorik 00:25:10 Rekursionsformel für Binomialkoeffizienten (begrifflicher Beweis) 00:27:06 binomischer Lehrsatz (begrifflicher Beweis) 00:29:12 Zwillinge be... more
04: Vorlesung | 00:00:07 Kollisionsproblem 00:14:00 Erwartungswert: Motivation 00:18:32 Erwartungswert: Definition 00:24:50 Erwartungswert: Strukturelle Eigenschaften (Rechenregeln) 00:31:30 Erwartungswert einer Indikatorfunktion, Dreiecksungleichung... more
05: Vorlesung | 00:00:07 Schnur-Orakel 00:10:27 Binomialverteilung im Urnenmodell 00:25:00 Hypergeometrische Verteilung 00:41:24 Modellierung mehrstufiger Experimente 00:53:53 Startverteilung, Übergangswahrscheinlichkeiten 01:04:20 Pólyasches Urnensc... more
06: Vorlesung | 00:00:01 Produktexperimente, Markov-Ketten 00:16:02 Bedingte W'en (Motivierung mit relativen Häufigkeiten) 00:19:02 Definition der bedingten Wahrscheinlichkeit 00:24:53 Bedingte Verteilung als Wahrscheinlichkeitsmaß 00:29:10 Zusammenh... more
07: Vorlesung | 00:00:06 Einführende Betrachtungen 00:05:26 Definition der Unabhängigkeit von n Ereignissen 00:07:23 Unabhängigkeit von 3 Ereignissen 00:09:25 Wichtige Punkte im Zusammenhang mit Unabhängigkeit 00:14:26 Unabhängigkeit und Komplementbi... more
08: Vorlesung | 00:00:07 Unabhängigkeit und Gerichts-Fehlurteile (der Fall Sally Clark) 00:04:29 Zufallsvektoren (Beispiel, Augenzahl des ersten Wurfs und Maximum der Augenzahlen beo 2-fachen Würfelwurf) 00:16:06 Definition (Zufallsvektor, gemeinsame... more
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