Umfang flink bestimmen

Berechne flink den Umfang u dieser zusammengesetzten Figur.[br][br][img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMwAAADmCAYAAACZFWqiAAAAAXNSR0IArs4c6QAAAIRlWElmTU0AKgAAAAgABQESAAMAAAABAAEAAAEaAAUAAAABAAAASgEbAAUAAAABAAAAUgEoAAMAAAABAAIAAIdpAAQAAAABAAAAWgAAAAAAAACQAAAAAQAAAJAAAAABAAOgAQADAAAAAQABAACgAgAEAAAAAQAAAMygAwAEAAAAAQAAAOYAAAAAhJpqqgAAAAlwSFlzAAAWJQAAFiUBSVIk8AAAD7lJREFUeAHtnd1vFNUbx59CKS1YaKUgoCAtlZf6LgQV0XqjJpIYoiFcUE2MV5p476UX/gdeGEzUCzXhytcLI0ZDjFjFVNDS+ApCFQSB8iK0IAV+fI+/bWZgd2dXdtpzZj6TLOzOmc4+5/PMZ8+ZM7tn6i5eWowFAhCoiMCkirZiIwhAwBFAGA4ECFRBAGGqgMWmEEAYjgEIVEGgvoptg9hUYxgXLlxwDwU8efJkmzSJz4UgkhdAkJkSRrKcOXPGfv/9d9u7d6+1tLRYZ2enzZw504kTQD4I0XMCmRFGshw/fty2bNlib7/9tg0PDzt5br31Vnv22Wetq6vL6uszU13PD6vshpepvsqBAwesr6/PnnvuOdu8ebO99NJLTpzXXnvNTp8+bVxyyu6BPF41y5QwDQ0Nrgu2evVqa2trM7Uud955p/3222+um4Yw43VYZfd9MtNHqaurs8WLF9uiRYvGzld0sj916lRT2blz57KbRWo2bgQyI4yISZDCiNjo6KgdPnzY1E1bsmSJk0nisEDgaghkqktWAKFh5WPHjrnzGbUsPT09Nn36dNfSFLbhfwj8FwKZamEEQC3L0aNHbdu2bbZz507bsGGDGyErtDz/BRJ/A4ECgbpLJ8KZ+bayZDl48KBt3brVBgcH7bHHHrOlS5falClTCvXlfwhcFYHMdMnkvbphkkWjYmvXrrUFCxbY2bNn3dCyZGKBwNUSyFSXTKJs2rTJpk2bZv39/Y6NumLt7e325JNP2rJly8YGBa4WHH+fTwKZEmb+/PlODJ3oR0fEZs+e7b4eE12Xz3RT66slkKlzmKuFwd9DIIlAqi2Mzit07qD/8zhKVRhPUd31rWmW8AmkJowOlhMnTtj27dvdlyBnzJgRPq0qa6APi/Pnz7vBB31rWqN1dAurhOjZ5qkJo4Plu+++sxdffNH2799vTU1NuWllCi2LzqX01ZyNGze6b0zrZwYI45kBVYaTmjA6MPSJqlZG8syZM8eam5urDC/MzSWMWhb9LmdoaMhGRkb4pnSYqbwi6lSFUTessbHRli9fbi+//LIb3r0iggyukDD6Idsrr7xir776qhvmzuM5XAZTa6kKo1ZGD53wqrWRPHlZJI3qLFEKHPJS9yzXMzNX+rOcJOrmDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A8BhPEnF0QSAAGECSBJhOgPAYTxJxdEEgABhAkgSYToDwGE8ScXRBIAAYQJIEmE6A+B+lKhXLx4MVZUV1cXe80LCOSRQElhzp8/b0eOHLGzZ89aa2urNTc3G9Lk8RChzlECMWHUqugxNDRkW7ZssT/++MMmTZpk7e3t9vjjj0f/jucQyCWB2DmMZDl+/Li9//779vnnn9u0adPsuuuuc9Lkkg6VhsBlBGItjLph33zzjX311Ve2fv166+7utilTppjWs0AAAmaxFmZ0dNTeffddd84iUT744APXNTt16pTrqgEMAnkncEUL09vba3fddZft2LHDnfTv37/fncv09PRYY2Nj3nlR/5wTGGthdP5y5swZO3TokF24cMFWrlxpTzzxhC1evNg2b95sEkfrWSCQZwJXtDCCoRbm3nvvdcPIGlZW12xgYMAWLlzIAECejxbqbjFh1OWaNWuWtbS0WH39v0UzZ860yZMn2+HDhzmP4YDJPYGxLpkuSjY0NFhXV5eT49y5c2PXZPR83rx5XLjM/eECgDFhhEItyaOPPmrff/+97dy503bv3m2ffvqpdXZ22u233+7KQQaBPBOIdcnUDXvooYfs119/tXfeeceamprsxIkT9swzz3ABM89HCXUfIxATRt2yuXPnmoaQ+/r6TNdlHnnkEbvjjjtoXcaQ8STPBK4QRt2ypUuXWkdHhzuH0XmNROKLl3k+TKh7gUBMGK0syDF16tTCNvwPAQj8n0DspB8qEIBAeQIIU54PpRCIEUCYGA5eQKA8AYQpz4dSCMQIIEwMBy8gUJ4AwpTnQykEYgQQJoaDFxAoTwBhyvOhFAIxAggTw8ELCJQngDDl+VAKgRgBhInh4AUEyhNAmPJ8KIVAjADCxHDwAgLlCSBMeT6UQiBGAGFiOHgBgfIEEKY8H0ohECOAMDEcvIBAeQIIU54PpRCIEUCYGA5eQKA8AYQpz4dSCMQIXDEJRqyUF/+JgCZ2jy56rXvs6MGE7lEytX+uO+YVJnKp/d4tPrdyGm+Q131qet1//vnHhoeHrb+/39577z03MWJeeaRZb30gibUmztccepqlNa1bs9DCpJRJ3TpkZGTEJXHbtm32448/MhliSqwljGTRh9TGjRvdvHoIkxLsNHarLsE111xjq1atsj179rj7hmqeN3UXWGpPQF3dH374wfbt2+c+pC7vEtfyHWlhakkzsi/dUHfNmjW2YMECl8TC7UMim/C0RgTUumzatMkOHDhgM2bMSPWDCWFqlLTLd6NWprW11XR/HZZ0Ceg8UXOCqwXXvVnFPq0FYdIie2m/SpzmqmZJj4C6X2mPjEWjp1MdpcFzCCQQQJgEQBRDIEoAYaI0eA6BBAIIkwCIYghECSBMlAbPIZBAAGESAFEMgSgBhInS4DkEEgggTAIgiiEQJYAwURo8h0ACAYRJAEQxBKIEECZKg+cQSCCAMAmAKIZAlADCRGnwHAIJBBAmARDFEIgSQJgoDZ5DIIEAwiQAohgCUQIIE6XBcwgkEOAXlwmAKM4OgWKTY1T7c2aEyc7xQE0SCGgSxaNHj9qhQ4ds+vTpdsMNN1Q9BwDCJECmOHwCallGR0dt+/bt9uabb9rff//tXt9999329NNPu4lKKp0CC2HCPx6oQQIBCTM4OGgff/yxrV692jo6OmzXrl321ltvmabD6unpcfPIJezGFSNMJZTYJngCx44dc1MxPfzww9bW1madnZ22e/du27p1q2mdumiVnM8gTPCHAhVIIiARFi5c6ESRLJr6qqWlxVasWGEDAwOui6ZWCGGSSFKeCwISYdasWe4hWSSHJi+XLJoA8Nprr61IFsHiOkwuDhkqKVEKkypqAODrr792d1VYt26da3kqaV1EkS4Zx1JuCKhl0cTluv3IJ5984kbI7rvvvqpujYEwuTlc8l1RyaJJy3fs2OFGy+6//37r7u52o2OVti4iiDD5Po5yUfvCOcsXX3xhvb29ds8999jKlSvdkLIAqLxSaRAmF4cMldQQ8uuvv+7k0M2uvv32WyeJBgPWrl1r8+fPr0gahOFYyjyBwrnLnDlz3OjYyZMn3VCyKq6WRV21SheEqZQU2wVLQFIsWrTInn/+eXfSL4G0aL3uDDd79uyKWhf9DcKIAkumCUgM3UJRV/MvX1RWzYIw1dBi22AJSIxq5ShWWS5cFqPCOgiUIIAwJcCwGgLFCCBMMSqsg0AJAghTAgyrIVCMAMIUo8I6CJQggDAlwLAaAsUIIEwxKqyDQAkCCFMCDKshUIwAwhSjwjoIlCCAMCXAsBoCxQggTDEqrINACQIIUwIMqyFQjADCFKPCOgiUIIAwJcCwGgLFCCBMMSqsg0AJAghTAgyrIVCMAMIUo8I6CJQggDAlwLAaAsUIIEwxKqyDQAkC4/Kbfs3Sobs/aZpOFgjUkoCOreijlvsutq/UhZEop0+ftl9++cU0gRoLBGpNQMeVbsWnY00TjRemUar1+2h/qQmj4E+dOmUjIyO2b98+e+GFF6ypqSmNOrDPnBNQz+XPP/90k/QdOXJkbO6xWswSczna1ITRG8l03chGi+aFqq9P9e3c+/BP/gjow1lTvjY2NrobJem2FmnIIrJ1lw7qf6cBTIGzblqjG3DqE6BW80KlECa7zAABSaNDWfes1IR9ld7ktdqqpypMtcGwPQR8J8Cwsu8ZIj6vCCCMV+kgGN8JIIzvGSI+rwgwbDUB6ShcL9CgSOFirgZFNIrY0NDgbl6a1ijPBFQ3U2+JMBOQTt3A56OPPrI33njDDh486CTRqM4tt9xiTz31lK1atWrsjr8TEB5vWYYAwpSBk1aRhj/VsixZssQ2bNhgHR0dTpDm5mZ367i0hkTTqk+e9oswE5RtdblaW1tt2bJl1tXV5bpjEiXNi24TVNVMvS3CTGA6h4eH7aeffnLfg9Jt49rb292V6gkMibdOIIAwCYDSKtaJ/8DAgA0ODtqNN95of/31l9188822fv16mzdvXmpXqtOqT172izATkGl1vdra2qy7u9tWrFhhN910k3344Yf22WefOVnWrVvnblY6AaHxlgkEECYBUBrF+pLgAw88YGvWrHHnLGptdB7T19dne/fudd+/0919WfwjgDATkBMJEj3B16hZ4bqLnuvB4icBrvSPc14kw8mTJ62/v99+/vln93sh/QBqz549NjQ0ZNdff737KcQ4h8XbVUiAFqZCULXcTIL09vY6aZYvX+5+Kfjll1+6k/4HH3zQ/a6jlu/HvmpHgK/3145lRXtSC6Of0eqXgbt27XI/3dY6Xby87bbbbO7cua67VuiiVbRTNho3AggzbqjjbyRJdLVfDz3X98i4aBln5OMrhPExK8TkLQFO+r1NDYH5SABhfMwKMXlLAGG8TQ2B+UgAYXzMCjF5SwBhvE0NgflIAGF8zAoxeUvgf/kWxv4iVOFIAAAAAElFTkSuQmCC[/img]

Beschreibe, wie du die fehlende Seitenlänge dieser zusammengesetzten Figur berechnen kannst![br][br][img]data:image/png;base64,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[/img]

[br]Die orange markierte Seitenlänge und die Seitenlänge mit 6 m müssen zusammen 15 m ergeben.[br]Ich frage mich: 6 plus wieviel ist 15?[br]Daher rechne ich 15 - 6 = 9.[br][br]Die gesuchte Seitenlänge beträgt 9 m.[br][img]data:image/png;base64,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[/img]

Mascha sagt: "Der Umfang dieser zusammengesetzten Figur ist größer als die Summe der Umfänge der beiden Rechtecke."[br][br]Gib an, warum Maschas Aussage nicht stimmt.[br][img]data:image/png;base64,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[/img]

[br]Wenn Mascha die Umfänge der einzelnen Rechtecke addiert, dann wird die rot markierte Strecke doppelt gezählt.[br]Diese ist aber keine Begrenzungslänge der zusammengesetzten Figur. Die rote Strecke wird nicht zum Umfang der zusammengesetzten Figur gezählt.[br][br]Deshalb ist die Summe der Umfänge der beiden Rechtecke größer.[br][img]data:image/png;base64,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[/img]

Information: Umfang flink bestimmen