Answer:
A
Step-by-step explanation:
1.9 about 2, and 4.4 is about 4.
2x4=8
So it is safe to say between 4 and 10.
<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:
D. 60= 100 % therefore, 45 would equal 75 %.The answers D. Hope this helps!
Step-by-step explanation:
Slope: 
<u>Use the slope formula</u>
<u>Note</u>
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