<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>
Looking for the area of a regular figure would be taking the longest side and the shortest side and multiply
Yeah honestly same it’s ok tho
we are ratio as
It will be equivalent to only those terms which would be multiple of this term
so, we will multiply top and bottom term by 5
and we get
so, it is very similar to 12/35
so, it will be equivalent to 12/35
so, option-C.......Answer
The answer should be X= 3.60m
