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Einführung in die Stochastik für Studierende des gymnasialen Lehramts Mathematik, SS2014, Vorlesung

Karlsruher Institut für Technologie (KIT)

Einführung in die Stochastik für Studierende des gymnasialen Lehramts Mathematik, SS2014, Vorlesung

PublishesDailyEpisodes26Founded12 years ago
Language
German
Categories
EducationCourses

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Artwork for Einführung in die Stochastik für Studierende des gymnasialen Lehramts Mathematik, SS2014, Vorlesung

Latest Episodes

Vorlesung - Lektion 26: - Definition (Gammaverteilung) - Satz (Momente der Gammaverteilung) - Satz (Additionsgesetz für die Gammaverteilung) - Bemerkung (Beta-Funktion) - Folgerung (Additionsgesetz für die Exponentialverteilung) - Definition (Chi-Qua... more

Vorlesung - Lektion 24: - Wiederholung aus Lektion 23 - Bedeutung der Normalverteilung - Satz (Streng monotone Transformationen) - Beispiel (Lognormalverteilung) - Definition (Lognormalverteilung) - Beispiel (Weibull-Verteilung) - Definition (Weibull... more

Vorlesung - Lektion 22: - Der exakte Test von Fisher - Trugschlüsse beim Umgang mit Tests - Allgemeine Modelle - Definition (Sigma-Algebra) - Folgerungen aus der Definition - Beispiele für Sigma-Algebren - Satz (Schnitte von Sigma-Algebren sind Sigma... more

Vorlesung - Lektion 21: - Wiederholung aus Lektion 20 - Konsistenz des einseitigen Binomialtests - Beispiel (Planung des Stichprobenumfangs) - Beispiel (Zweiseitiger Binomialtest) - Der p-Wert - Zusammenhang zwischen Konfidenzbereichen und Tests - De... more

Vorlesung - Lektion 20: - Induktive Statistik: Statistische Tests - Beispiel (Die >tea tasting lady<) - Grundbegriffe (Hypothese und Alternative) - Definition (Nichtrandomisierter Test) - Definition (Prüfgröße, kritischer Wert) - Beispiel (Tea tastin... more

Vorlesung - Lektion 25: - Wiederholung aus Lektion 24 - Beispiel (Cauchy-Verteilung) - Definition (Symmetrische Verteilung) - Satz (Erwartungswert gleich Median bei symmetrischen Verteilungen) - Definition (Quantiltransformation) - Beispiel (Exponent... more

Vorlesung - Lektion 23: - Wiederholung aus Lektion 22 - Messbarkeit (Motivation) - Definition (Zufallsvektor, Messbarkeit, Verteilung) - Konstruktion von Wahrscheinlichkeitsmaßen über Dichten - Definition (Gleichverteilung auf eine Menge im R hoch k)... more

Vorlesung - Lektion 19: - Wiederholung aus Lektion 18 - Konfidenzbereiche (allgemeines Konstruktionsprinzip) - Beispiel (Binomialverteilung) - Beispiel (Binomialverteilung, einseitige Konfidenzbereiche) - Beispiel (Poisson-Verteilung) - Definition (A... more

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  • Lektionen fehlen

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    Axel Fischer
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