<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>
X can you please give me braknlistest yes yes thank yoy
Answer:
-45
Step-by-step explanation:
2/3x - 11 = x + 4
- I created an inequality representing the above statement first. This makes things look less complicated than what the question is asking.
2/3x = x + 15
- solve for x. I started by adding 11 to both sides.
-1/3x = 15
- multiply both sides by -3
x = -45