Trigonometría 5 - Trigonometría - F - Aplicación directa teorema seno

Pedro quiere saber a qué distancia se encuentra un pozo de su casa. Sin embargo, él solo sabe que su hermano Juan vive en otra casa a #d [km] de la suya. Además, Pedro mide que las rutas que van desde su casa hacia el pozo y hasta la casa de Juan respectivamente forman un ángulo de #ang1 [radianes]. Pedro decide llamar a Juan por teléfono, y este le responde que las rutas que van desde su casa hacia la casa de Pedro y hacia el pozo respectivamente forman un ángulo de #ang2 [radianes]. ¿A qué distancia (en metros) de la casa de Pedro queda el pozo?

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 1.0000000 0.3333333 0 0 #sol <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>d</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mn>3</mn><mo>,</mo><mn>7</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>ang1</mi><mo>=</mo><mi>aleatorio</mi><mo>{</mo><mfrac><mi>π</mi><mn>6</mn></mfrac><mo>,</mo><mfrac><mi>π</mi><mn>4</mn></mfrac><mo>,</mo><mfrac><mi>π</mi><mn>3</mn></mfrac><mo>}</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>ang2</mi><mo>=</mo><mi>aleatorio</mi><mo>{</mo><mfrac><mi>π</mi><mn>6</mn></mfrac><mo>,</mo><mfrac><mi>π</mi><mn>4</mn></mfrac><mo>,</mo><mfrac><mi>π</mi><mn>3</mn></mfrac><mo>}</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mn>1000</mn><mo>*</mo><mi>d</mi><mo>*</mo><mfrac><mrow><mi>sen</mi><mo>(</mo><mi>ang2</mi><mo>)</mo></mrow><mrow><mi>sen</mi><mo>(</mo><mi>π</mi><mo>-</mo><mi>ang1</mi><mo>-</mo><mi>ang2</mi><mo>)</mo></mrow></mfrac></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">true</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>