[size=150][size=200][center][b][color=#3c78d8]¡Veamos algunas funciones divertidas a nuestro alrededor e intentemos describirlas![/color][/b][br][/center][/size][/size][br]
Julia, Paty y Juan, que están en la tienda, piensan que es un error.[br][list][*]Julia dice a sus amigos: “¿No debería ser el total $132.50?”[/*][*]Paty dice: “Yo pienso que deberían ser $130.00.”[/*][*]Juan dice: “No, yo pienso que deberían ser $112.50”[/*][/list]En equipos de cuatro personas, discutan esta situación. Expliquen cómo el vendedor, Julia, Paty y Juan pueden estar todos en lo correcto. En el siguiente espacio, escriban sus conclusiones.
El movimiento del perro cada día se describe a continuación:[br][table][tr][td][img]data:image/png;base64,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[/img][/td][td][list][*]Día 1: El perro caminó alrededor del poste durante todo el tiempo, mientras esperaba a su dueño. [/*][*]Día 2: El perro caminó alrededor del poste durante el primer minuto y después se recostó hasta que regresó su dueño. [/*][*]Día 3: El perro intentó seguir a su dueño hacia la tienda, pero lo detuvo la correa. Después, empezó a caminar alrededor del poste en una dirección. Siguió caminando, hasta que la correa estuvo enrollada por completo alrededor del poste. El perro esperó ahí, hasta que regresó el perro. [/*][/list][br][list][*]Cada día, el perro estaba a 1.5 pies de distancia del poste, cuando su dueño se fue. [/*][*]Cada día, 60 segundos después que el dueño se fuera, el perro estaba a 4 pies.[/*][/list][/td][/tr][/table][br]A cada equipo, el profesor asignará uno de los días para ser analizados. Escriban el día asignado en el espacio a continuación.
A partir de la gráfica, ¿es posible decir cuántas veces cambió el perro de dirección, mientras caminaba alrededor del poste? Expliquen su razonamiento en el espacio a continuación.
Esta es una adaptación de la actividad: IM Alg1.4.1 Lesson: Describing and Graphing Situations[br]https://www.geogebra.org/m/mvzzmkn9
[b][size=150]Metas de aprendizaje:[/size][/b][br][list][*]Puedo explicar cuándo una relación entre dos cantidades es una función.[/*][*]Puedo identificar las variables independientes y dependientes en una función, y utilizar palabras y gráficos para representar la función.[/*][*]Puedo entender las descripciones y gráficas de las funciones y explicar lo que nos dicen sobre las situaciones.[/*][/list][br][br]