Suppose a researcher is studying a population in which 57% of the population has a certain trait. Round your answer to the nearest tenth of a percent if needed.
The researcher wants a sampling distribution with a standard deviation that is less than 6%. Would a sample size of 50 give a standard deviation that is less than 6%? How about a sample size of 100?
@Directrix
I am still working on the other problem. Oh, well.
lol yeah im sure the other problem is 9 or at least 97percent sure
I can't be of any help at the present because I need to review the central limit theorem. I can't find a formula that makes sense for these problems.
look at what the one I gave you on the last problem
alright :)
@ganeshie8
\[s.d = \dfrac{\sigma}{\sqrt{n}}\]
would it be 6/50?
as you can see, the standard deviation of the sampling distribution decreases quadratically as the sample size increases
yes but the thing is that im not too sure about the formula that Im supposed to follow and the different percentages confuse me
0.36=0.84
I think im doing something wrong
You want \(s.d\) of the sampling distribution to be less than 6% of the population standard deviation. That is, \(s.d\lt 0.06\sigma\). So we can solve : \[0.06\sigma=\dfrac{\sigma}{\sqrt{n}}\]
\[\sqrt{n} = \dfrac{1}{0.06} = \dfrac{100}{6}\] square both sides and round
ok so then that will be a yes for 100 sample
nope, what do you get for \(n\) when you solve
50/3
and you said to square root therefore 4.08
you need to square it
\(\sqrt{n} = \dfrac{50}{3}\) \(n = (\dfrac{50}{3})^2 =277.77 \)
that means, you need a sample size of at least 278 to make the standard deviation go below 6%
oh then neither 50 nor 100 percent sample would work right?
they are less than 278, so none of them work
ok thank you sooo much :)
yw
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