1- Mou els punts A, B i C per a familiaritzar-te amb l'aplicació. Un cop els hagis fixat en una determinada posició, mesura els angles A, B i C (fes servir el transportador). Construeix en el quadern una taula com la següent i copia les dades que obtens a la primera fila. Completa la taula amb la suma. Comprova els teus resultats amb la casella "Comprovar". En cas d'error, repeteix el mesurament.[br][br][img]data:image/png;base64,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[/img]
2- Mou els punts A, B i C a altres posicions diferents. Repeteix el procés de l'exercici anterior: mesura els angles amb el transportador, completa la taula i comprova els teus resultats. Fes el mateix algunes vegades més, fins a completar totes les files de la taula.[br][br]3- Analitza les dades de la taula. Observes alguna regularitat en la suma dels angles? Escriu les teves conclusions.[br]