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OpenStudy (anonymous):

How do I compute the sample mean difference in weight?

OpenStudy (amistre64):

if im remembering; its pretty much taking the difference between 1 weight from all the others; then doing the same for another, then another, until all weights have been differenced from every other weight ; then divide by how many times you had to do it

OpenStudy (amistre64):

but without some more context, thats the best idea i got :)

OpenStudy (anonymous):

OpenStudy (anonymous):

I know I have a right (4.167 or 4.2 lbs.) But I am stuck on B and C

OpenStudy (amistre64):

row 3 is the data set

OpenStudy (amistre64):

\[\sigma\approx s^2/\sqrt n\] hmm, id have to chk this but thats when im thinking for standard error im thinking s is an unbiased estimator of sigma for the sample

OpenStudy (amistre64):

s/sqrt(n) ... not s^2

OpenStudy (amistre64):

you do know how to calculate a sample standard deviation right?

OpenStudy (anonymous):

I am jsut not understanding how to get B. I know that whatever my answer is from B is divided by the sq oot of n to get c.

OpenStudy (amistre64):

what was the sample mean?

OpenStudy (amistre64):

\[\large s=\frac{\sum(x-\bar x)^2}{n-1}\]

OpenStudy (anonymous):

Thank you :) I think I can get it from here...we'll see.

OpenStudy (amistre64):

the sample standard deviation is a biased estimator but is commonly used as a point estimator of the populations standard deviation. Otherwise it might be expecting a chi^2 distribution

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