Daten darstellen und interpretieren

FLINK-Team, Sep 8, 2022

Table of Contents

  1. Entdecken
    1. Einen Prozentstreifen zeichnen
    2. Ein Kreisdiagramm zeichnen
    3. Ab in den Urlaub!
  2. Üben
    1. Was gehört zusammen?
    2. Lieblingsobst
    3. Bücher lesen
    4. Frühstück
    5. Was passt zusammen?
    6. Diagramm-Paare
    7. ☆ Wo bin ich?

1.

Entdecken

  • 1. Einen Prozentstreifen zeichnen
  • 2. Ein Kreisdiagramm zeichnen
  • 3. Ab in den Urlaub!

1.1.

Einen Prozentstreifen zeichnen

Erkläre, warum es sinnvoll ist, den Prozentstreifen 100 mm lang zu zeichnen.
Alex möchte einen weiteren Prozentstreifen mit denselben Angaben zeichnen.[br]Dieser Prozentstreifen soll jetzt aber 200 mm lang sein.[br][br]Gib an, wie viele mm die jeweiligen Kategorien (WhatsApp, Instagram, TikTok, Snapchat) im neuen Prozentstreifen lang sein müssen.[br]
In der 2a tragen 22 % der Kinder eine Brille. 78 % tragen keine Brille.[br]Stelle diesen Sachverhalt mit einem Prozentstreifen dar.[br][br]Der Prozentstreifen soll eine Länge von 10 cm haben.[br]Beschrifte den Prozentstreifen und füge eine Legende hinzu.
☆ Jonah behauptet: [br]"In der 2b haben 52 % der Kinder ein Haustier.[br]In der 2c haben 37 % der Kinder ein Haustier.[br]Das kann ich folgendermaßen in einem Prozentstreifen darstellen."[br][br][img]data:image/png;base64,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[/img][br]Beschreibe, welcher Fehler Jonah unterlaufen ist.
– FLINK-Team

1.2.

–

1.3.

–

2.

Üben

  • 1. Was gehört zusammen?
  • 2. Lieblingsobst
  • 3. Bücher lesen
  • 4. Frühstück
  • 5. Was passt zusammen?
  • 6. Diagramm-Paare
  • 7. ☆ Wo bin ich?

2.1.

Was gehört zusammen?

– FLINK-Team

2.2.

–

2.3.

–

2.4.

–

2.5.

–

2.6.

–

2.7.

–

Information