Suppose I have a population with μ = 25 and σ2=16. I take 10 samples of size 40. a. What would be your best guess for the value of each of the sample means? (0.25 point)
Please show work as well.
im sure theres a formula that can go along with this ....
http://www.stat.yale.edu/Courses/1997-98/101/sampmn.htm looks like theres someting in here that might be useful
I've already been to that website but I can't make sense of it.
is the a sigma^2? or a sigma_2?
it's to the second power
off hand id say my best guess of each sample mean is about 25 but i cant confirm that yet, still trying to read up on it
the formula with all our parts is: \[\frac{\bar x -\mu}{\sigma/\sqrt{n}}\] but im not sure what the "equals" to yes
*yet
well i just need to figure out how to calculate the independent random variables but I dunno how to do that.
the mean of the means is are the independant random variables in this case
zarkon is here tho so this might be easy for him :)
as amistre said....the best guess for each of the means (a point estimate) is 25
no formula needed
woohoo!!
I'm curious as to how to calculate the independent random variables exactly
using the central limit thrms formula that is an adaptation of the regular z= stuff id assume
?
recall:\[z=\frac{x-\mu}{\sigma} \]
in this case we have to "adjust" the sigma for some reason i cant remember to get:\[z=\frac{\bar x -\mu}{\sigma/\sqrt{n}}\]
spose you take a sample that has a mean of 33; how close would this be to the actual mean? 33-25 -------- = test statistic (zscore) 4/sqrt{40}
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