<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:
y=x
Step-by-step explanation:
When y=x, then the line goes up 1 and right 1.
Answer:
23/7 or 3 2/7
Step-by-step explanation:
it might be the mixed number
Answer:
708.496×1
2×354.248
177.124
×4
Step-by-step explanation:
Here are 3 ways.
You would divide 708.496 with some numbers and you have different ways.
Hope this helped!
Answer:
A
Step-by-step explanation: I believe it's A because It's the opposite but I'm not 100% certain, because I don't remember inverse statements.
