Answer:
The sampling distribution of
is <em>N</em> (0.25, 0.0354²).
Step-by-step explanation:
According to the Central limit theorem, if from an unknown population large samples of sizes <em>n</em> > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this sampling distribution of sample proportion is:

The standard deviation of this sampling distribution of sample proportion is:

Let <em>p</em> = proportion of adults in the city having credit card debts of more than $2000.
It is provided that the proportion of adults in the city having credit card debts of more than $2000 is, <em>p</em> = 0.25.
A random sample of size <em>n</em> = 150 is selected from the city.
Since <em>n</em> = 150 > 30 the Central limit theorem can be used to approximate the distribution of <em>p</em> by the Normal distribution.
The mean is:

The standard deviation is:

Thus, the sampling distribution of
is <em>N</em> (0.25, 0.0354²).
Answer:
43.96 in
Step-by-step explanation:
7×2×3.14=43.96
Because they do not have similar multiples with each other so they repeat, while some others do so they are terminating.
hope that helps :)
SOH - CAH - TOA
We need to know the shadow length, which is adjacent to the angle we are given. We are also given the height of the building, which is opposite of the angle. Using both of these, we can find the shadow length:
tan 25 = 100/A
A = 100/ tan 25
A = 214.5 ft