<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>
Three hundred four million, Eight hundred thousand Four hundred
and standard form is the way you wrote it, 304,800,400
Answer:
none of these, it should be 25%
Step-by-step explanation:
Answer:
$8,000
Step-by-step explanation:
Let the store earned $x in December.
Therefore,
Money spent to buy new inventory 
Remaining money 
Money used to pay bills 
Money still left over = $3,000
Total money earned in December 
Thus, total money earned in December is $8,000.
Answer:i think the answer is something
Step-by-step explanation:
