Answer:
B
Step-by-step explanation:

Radius= diameter ÷2
r= 32 ÷2
r= 16

Substitute r= 16,


Divide the denominator and numerator by 128:

Thus, the answer is B.
This sample size it too small. The larger the sample size, the more likely the data will be true to what the question is asking. A larger sample size brings more precision to the question that is being asked.
Answer:
10000*0.6065=6065
A. about 6,065
Step-by-step explanation:
Definitions and concepts
The Poisson process is useful when we want to analyze the probability of ocurrence of an event in a time specified. The probability distribution for a random variable X following the Poisson distribution is given by:

And the parameter
represent the average ocurrence rate per unit of time.
For this distribution the expected value is the same parameter
,
, 
Solution to the problem
We want "how many would have no blemishes" so first we need to find the probability that X=0, since X represent on this case the number of blemishes on each door. And if we use the mass function we got this:

And now since we have a total of 10000 doors painted we can find how many we would expect with no blemishes:
10000*0.6065=6065
A. about 6,065
Answer:
16
Step-by-step explanation:
To solve we must first find what the given ratios equal
8/5 = 1.6
40/25 = 1.6
48/30 = 1.6
this means that x/10 = 1.6
To find x... multiply both sides of this equation my 10 to get x alone
x=1.6×10
x=16
47/12+23/6+7/2+5=47/12+46/12+42/12+60/12=195/12=16.25 gallons. The pool will be filled