<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>
I believe it is (3*4*4*4)/16=12
hopefully its right and it helped!
Aliana will use 3.75 inches to make her necklace
Answer:
Lowest is 100
Highest is 125
Step-by-step explanation:
We use the 5 number summary to be the foundation of a graphical representation referred to as the box plot. One box would move from one quartile which is the lowest quartile Q1 to the another quartile Q3 which is the upper quartile.
Now if a box plot is to be made given the the information in this question, the box is going to go from Quartile 1 to Quartile 3.
Then the Lowest value would be 100 and the highest 125
