Drafting has been around a long time. We can safely assume that since we’ve had a tool in our hands, we’ve been describing plans and technical representations and doodling ideas. Let’s take a closer aspect at drafting and its advance from an under-the-radar part of the method to a very developed skill set.
<u>Explanation</u>
• 1970s – The beginning computer-aided design systems were included in the industry. Following the design engineers tried the learning curve of using CAD, their performance and productivity went through the roof. Over time, CAD software became affordable and more user-friendly, and its fame grew.
• 1990s – CAD software was expanded further to include 3-D characteristics, and quickly the technical designs of the past enhanced increasingly simulated and accessible to engineer.
• Present – The development of drafting has brought us to the present day, were using 3-D representations is the standard and the aim to generate full virtual prototypes.
Answer:
La probabilidad pedida es ![0.820196](https://tex.z-dn.net/?f=0.820196)
Explanation:
Sabemos que la probabilidad de que un nuevo producto tenga éxito es de 0.85. Sabemos también que se eligen 10 personas al azar y se les pregunta si comprarían el nuevo producto. Para responder a la pregunta, primero definiremos la siguiente variable aleatoria :
'' Número de personas que adquirirán el nuevo producto de 10 personas a las que se les preguntó ''
Ahora bien, si suponemos que la probabilidad de que el nuevo producto tenga éxito se mantiene constante
y además suponemos que hay independencia entre cada una de las personas al azar a las que se les preguntó ⇒ Podemos modelar a
como una variable aleatoria Binomial. Esto se escribe :
~
en donde
es el número de personas entrevistadas y
es la probabilidad de éxito (una persona adquiriendo el producto) en cada caso.
Utilizando los datos ⇒
~ ![Bi(10,0.85)](https://tex.z-dn.net/?f=Bi%2810%2C0.85%29)
La función de probabilidad de la variable aleatoria binomial es :
con ![x=0,1,2,...,n](https://tex.z-dn.net/?f=x%3D0%2C1%2C2%2C...%2Cn)
Si reemplazamos los datos de la pregunta en la función de probabilidad obtenemos :
con ![x=0,1,2,...,10](https://tex.z-dn.net/?f=x%3D0%2C1%2C2%2C...%2C10)
Nos piden la probabilidad de que por lo menos 8 personas adquieran el nuevo producto, esto es :
![P(X\geq 8)=P(X=8)+P(X=9)+P(X=10)](https://tex.z-dn.net/?f=P%28X%5Cgeq%208%29%3DP%28X%3D8%29%2BP%28X%3D9%29%2BP%28X%3D10%29)
Calculando
y
por separado y sumando, obtenemos que ![P(X\geq 8)=0.820196](https://tex.z-dn.net/?f=P%28X%5Cgeq%208%29%3D0.820196)
Answer:
hand tracing
Explanation:
as a programmer when we pretend computer in the debugging process by the step of each statement in recording
then there value of variable is hand tracing because as The hand tracking feature is the use of hands as an input method
so while recording value of each variable each step is hand tracing
Answer: its an Ignition coil