SOLUTION: SAMPLING DISTRIBUTION WITH AND WITHOUT REPLACEMENT A population consists of (3,8,10,15). Consider all possible sample size 2 that can be drawn with replacement. -what is the

Algebra ->  Statistics  -> Central-limit-theorem -> SOLUTION: SAMPLING DISTRIBUTION WITH AND WITHOUT REPLACEMENT A population consists of (3,8,10,15). Consider all possible sample size 2 that can be drawn with replacement. -what is the       Log On


   



Question 1190595: SAMPLING DISTRIBUTION WITH AND WITHOUT REPLACEMENT
A population consists of (3,8,10,15). Consider all possible sample size 2 that can be drawn with replacement.
-what is the standard deviation of the sampling distribution of means? =
-what is the population mean? =
-what is the population standard deviation? =
-what is the population variance? =
-what is the variance of the sampling distribution of means? =
-what is the mean of the sampling distribution of means? =

A population consists of (3,8,10,15). Consider all possible sample size
2 that can be drawn without replacement.
-what is the variance of the sampling distribution of means? =
-what is the standard deviation of the sampling distribution of means? =
-what is the mean of the sampling distribution of means? =

Answer by MathLover1(20849) About Me  (Show Source):
You can put this solution on YOUR website!
a.
what is the population mean?
We have population values 3,8,10,15, population size N=4+
mu=%283%2B8%2B10%2B15%29%2F4=9

b.
what is the population variance?

c.
what is the population standard deviation?
delta=+sqrt%28delta%5E2%29=sqrt%2818.5%294.3012

d. We have population values 3,8,10,15, population size N=4 and sample size n=2.
Thus, the number of possible samples which can be drawn without replacement is

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what is the mean of the sampling distribution of means?

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​The mean of the sampling distribution of the sample means is equal to the the mean of the population.

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