<span>Defective rate can be expected
to keep an eye on a Poisson distribution. Mean is equal to 800(0.02) = 16,
Variance is 16, and so standard deviation is 4.
X = 800(0.04) = 32, Using normal approximation of the Poisson distribution Z1 =
(32-16)/4 = 4.
P(greater than 4%) = P(Z>4) = 1 – 0.999968 = 0.000032, which implies that
having such a defective rate is extremely unlikely.</span>
<span>If the defective rate in the
random sample is 4 percent then it is very likely that the assembly line
produces more than 2% defective rate now.</span>
Answer:
Step-by-step explanation: 7 miles: 3/4 hour, 9/8 miles: 5/6 hour, and 4 miles: 3 and 1/3 hour.
hope this helps !! <3
<em>1172. 08 in²</em>
- <em>Step-by-step explanation:</em>
<em>Hi there !</em>
<em>A(prism) = 2(lw + lh + wh) - Ab(cylinder)</em>
<em>= 2(16*11 + 16*11 + 11*11) - πr²</em>
<em>= 2(176 + 176 + 121) - 3.14*16</em>
<em>= 2*473 - 50.4</em>
<em>= 946 - 50.24</em>
<em>= 895.76 in²</em>
<em>A(cylinder) = πr² + 2πr*h</em>
<em>= 3.14*16 + 2*3.14*4*9</em>
<em>= 50.24 + 226.08</em>
<em>= 276.32 in²</em>
<em>A(total) = 895.76in² + 276.32in² = 1172.08 in²</em>
<em>Good luck !</em>
