He had 3000 originally do 3000 divided by 1/6 and i got 3000 by 6 x 500
<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>
2 x 2 x 3 x 3
This is really easy to search up btw
Answer:
Are you ok? Do you need the call 911, or is this an actual question?
Step-by-step explanation:
It is c because i believe so
