Mathematikwettbewerb (2_091)

Grundkompetenz: WS 1.1, WS 1.2, WS 1.3
Eine Schülergruppe hat an einem Mathematikwettbewerb teilgenommen.
a)
Die [math]12[/math] Burschen der Schülergruppe haben folgende Punktezahlen erreicht:[br][br][math]32;38;40;52;53;54;56;60;61;64;66;84[/math][br][br]Nun sollen die Ergebnisse übersichtlich dargestellt werden. Dazu wird die folgende Klasseneinteilung verwendet:[br][br][img]data:image/png;base64,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[/img][br][br][br][br][b][size=150]1) Erstellen Sie ein Säulen- oder Balkendiagramm, in welchem die Häufigkeiten der jeweiligen Klassen [math]A[/math] bis [math]F[/math] dargestellt sind.[/size][/b]
b)
Das arithmetische Mittel und der Median für die Punktezahlen der Burschen betragen [math]55[/math] Punkte.[br]Die [math]12[/math] Mädchen der Schülergruppe haben folgende Punktezahlen erreicht:[br][br][math]37;38;44;53;54;57;59;60;61;62;63;65[/math][br][br]Die Mädchen behaupten, dass sie sowohl beim arithmetischen Mittel als auch beim Median eine größere Punktezahl als die Burschen erreicht haben.[br][br][br][br][b][size=150]1) Überprüfen Sie nachvollziehbar, ob diese Behauptung richtig ist.[/size][/b]
c)
Die Punkteverteilung einer anderen Schülergruppe ist in dem nachstehenden Boxplot dargestellt.[br][br][img]data:image/png;base64,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[/img][br][br][br][br][b][size=150]1) Lesen Sie ab, wie viel Prozent der Schüler/innen mindestens [math]50[/math] Punkte erreicht haben.[/size][/b]
[b][size=150]2) Ermitteln Sie die Spannweite der Punktezahlen.[/size][/b]
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Information: Mathematikwettbewerb (2_091)