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Median der Werte
![[image]](data:image/png;base64,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 "embedded image (png)")
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Stichprobemittelwert der Zufallsvariablen
![[image]](data:image/png;base64,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Mittelwert der Werte
![[image]](data:image/png;base64,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Mittelwert aller Werte einer Funktion
![[image]](data:image/png;base64,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Schätzwert für den Parameter
![[image]](data:image/png;base64,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Kapitel 2: Statistik
Median der Werte
Stichprobemittelwert der Zufallsvariablen
Mittelwert der Werte
Mittelwert aller Werte einer Funktion
Schätzwert für den Parameter