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Artwork for Einführung in die Stochastik für Studierende des gymnasialen Lehramts Mathematik, SS2015, Vorlesung

Einführung in die Stochastik für Studierende des gymnasialen Lehramts Mathematik, SS2015, Vorlesung

Karlsruher Institut für Technologie (KIT)

Einführung in die Stochastik für Studierende des gymnasialen Lehramts Mathematik, SS2015, Vorlesung

PublishesDailyEpisodes27Founded8 years ago
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German
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Artwork for Einführung in die Stochastik für Studierende des gymnasialen Lehramts Mathematik, SS2015, Vorlesung

Latest Episodes

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

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8 years ago

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

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8 years ago

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

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8 years ago

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

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8 years ago

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

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8 years ago

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

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8 years ago

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

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8 years ago

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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8 years ago

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