Stats Q attached
I have the formula z= (xbar-u)/\[\sigma/\sqrt{n}\]
not too pretty, but the best I could do since they don't have all the symbols
Because the two data sets are independent, this means this isn't a paired t-test Basically one set doesn't affect the other, so that's how we know the two sets are independent
so we use a two sample t-test to answer these questions quick question: does it say that the population variances are assumed to be equal?
let me check
ok
no it doesn't, the information shown is all they gave...
ok I'm going to assume that the population variances are not equal
let s1 and s2 be the sample standard deviations of the first and second lists respectively
ok
using a calculator, these standard deviations are s1 = 10.2470444248302 s2 = 7.9717382741226
we also need the sample means xbar1 and xbar2, and they are (found with a calculator) xbar1 = 61.7877777777778 xbar2 = 60.1111111111111
now we use the sample standard deviations, along with the value of n to find the standard error SE SE = sqrt( ((s1)^2)/(n1) + ((s2)^2)/(n2) ) SE = sqrt( ((10.2470444248302)^2)/(9) + ((7.9717382741226)^2)/(9) ) SE = sqrt( (105.001919444444)/(9) + (63.5486111111111)/(9) ) SE = sqrt( 11.6668799382716 + 7.06095679012346 ) SE = sqrt( 18.7278367283951 ) SE = 4.32756706804124
we now use this standard error SE in the test statistic formula t=(observed difference - expected difference)/(Standard error for the difference) t=((xbar1-xbar2)-(mu1-mu2))/(SE) t=((61.7877777777778-60.1111111111111)-0)/(4.32756706804124) t=(1.67666666666667)/(4.32756706804124) t=0.387438632447485
so the test statistic is roughly t = 0.387
hmm... ok I see what I was doing wrong, I was using x1 and x2 instead of the xbars in the formula and kept getting numbers that weren't an option
what do you mean by x1 and x2?
i was using the first two values on the left side of the chart as my x's
ah i see
yes, but now i see it was the formula i misunderstood
and unfortunately #6 is incorrect as well
actually, i fixed that one, but the answer on 5 turned out to be A, the one i had... I'll recheck your math in a few minutes, after I get some more problems turned in
hmm I guess it was a paired t-test then
could you help me out with one more?
because this is what I get with a paired t-test t = (d_bar-mu_d)/(S_d/sqrt(n)) t = (1.67666666666667-0)/(5.15497090195473/sqrt(9)) t = (1.67666666666667-0)/(5.15497090195473/(3)) t = (1.67666666666667-0)/(1.71832363398491) t = (1.67666666666667)/(1.71832363398491) t = 0.97575720516534 so that's pretty close...I just wasn't sure if it was a paired t-test
sure
thanks :)
np
I'll post a new Q
ok
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