Grundkompetenz: WS 1.2, WS 2.1, WS 3.2
Die Wahrscheinlichkeit, dass eine zufällig ausgewählte Person Rosa als Lieblingsfarbe nennt, beträgt [math]13\%[/math].[br][math]25[/math] zufällig ausgewählte Personen werden nach ihrer Lieblingsfarbe gefragt.[br][br][br][size=150][b][br]1) Berechnen Sie die Wahrscheinlichkeit, dass genau [math]3[/math] der [math]25[/math] Personen Rosa als Lieblingsfarbe nennen.[/b][/size]
Die Wahrscheinlichkeit, dass eine zufällig ausgewählte Person Orange als Lieblingsfarbe nennt, beträgt [math]7\%[/math].[br]Unter [math]n[/math] befragten Personen soll mit einer Wahrscheinlichkeit von mindestens [math]90[/math]% mindestens [math]1[/math] Person sein, die Orange als Lieblingsfarbe nennt.[br][br][br][br][b][size=150]1) Berechnen Sie die Anzahl [math]n[/math] derjenigen Personen, die dafür mindestens befragt werden müssen. [/size][/b]
Die binomialverteilte Zufallsvariable [math]X[/math] beschreibt die Anzahl derjenigen Personen unter [math]10[/math] Befragten, die Lila als Lieblingsfarbe nennen. Die Wahrscheinlichkeitsfunktion dieser Zufallsvariablen ist in der nachstehenden Abbildung dargestellt.[br]Die Wahrscheinlichkeit, dass unter [math]10[/math] Befragten maximal [math]3[/math] Befragte Lila als Lieblingsfarbe nennen, beträgt [math]96\%[/math].[br][br][br][b][size=150][br]1) Zeichnen Sie in der Abbildung die fehlende Säule für [math]P(X=2)[/math] ein.[/size][/b]
Die Schüler/innen einer Schule wurden nach ihren Lieblingsfarben gefragt. In der nachstehenden Abbildung ist dargestellt, wie viel Prozent der Befragten die jeweilige Farbe als Lieblingsfarbe genannt haben.[br][img]data:image/png;base64,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[/img][br][br][br][b][size=150][br][br]1) Beschreiben Sie, woran man erkennen kann, dass man auch mehr als eine Lieblingsfarbe nennen durfte.[/size][/b]