Ámbito Científico-Tecnológico ESA Nivel II/Bloque 09 CTII B09 T02 18 Gráfica e-t Cálculo v En la siguiente gráfica se representa la posición e en metros para cada instante de tiempo t en segundos de un vehículo. ¿Cuál es la velocidad del tramo #tramo?

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 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #sol1 m/s

]]> Muy bien.

]]> #sol2 m/s

]]> Incorrecto.

]]> #sol3 m/s

]]> Incorrecto.

]]> #sol4 m/s

]]> Incorrecto.

]]> #sol5 m/s

]]> Incorrecto.

]]> <question><wirisCasSession><![CDATA[<session lang="es" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tramo</mi><mo>=</mo><mi>aleatorio</mi><mo>{</mo><mi>AB</mi><mo>,</mo><mi>BC</mi><mo>,</mo><mi>CD</mi><mo>,</mo><mi>DE</mi><mo>,</mo><mi>EF</mi><mo>}</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>AB</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mo>-</mo><mn>1</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>BC</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mo>-</mo><mn>1</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>CD</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mn>2</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>DE</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mo>-</mo><mn>1</mn></mtd></mtr></mtable><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mo>-</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mn>3</mn></mtd></mtr></mtable></apply></apply></apply></apply></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tramo</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>DE</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol3</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>0.5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol4</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0.5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol5</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>1</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><options><option name="precision">2</option><option name="times_operator">·</option><option name="implicit_times_operator">false</option><option name="imaginary_unit">i</option><option name="answer_parameter">true</option></options><localData><data name="casSession"></data></localData></question>