The unemployment rates for March in 2 similar sized towns are being compared. Town 1: of 1508 employed, 405 were laid off Town 2: of 1252 employed, 281 were laid off A) Test if there is any difference in the lay off rates at 5% level. . Please help me decide the order of steps. EOV first then Average????????? Ho:___________ .05 (2-tail) Ha:___________ Reject if: pvalue<.05 conclusion: b)is there diff in lay off rates, how large is difference??
town1 unemployed = \[{405\over1058}\times100=?\] town2 unemployed = \[{281\over1252}\times100=?\]
26.86 22.44
I didn't multiply by 100 though thats new
what is EOV now??
when you multiply by 100, the result is in percentage
equality of variance
% ok yes right
your calculations seem erroneous
because its 1508, and you did 1058 for town 1 :)
ooh :P
but what I do not understand is how to use the F-test when there is just one information given.
\[H_0:\sigma_1^2=\sigma_2^2\]
can we find the \[\alpha\]
ok i see about the F test is rejected then.
yes it is .05
α=.05
this is exactly 5%
yes that is alpha.
you get \[\alpha=0.05\] for both?
in our class we only use .05 for alpha α.
but here we are required to find the alpha
?
alpha is always .05, i'm just unsure which program on the calculator ti it is?
use the T-tables to find the "t" value for equal variances
ok so this is equal. I was thinking it was UNequal?
|dw:1366614313851:dw|
we are using Null hypothesis what is sigma for H0 and what is sigma for Ha
so do i use Z then? aghhh im lost these words al lmix together
0 and 1
we are trying to compare the "p" values with 0.05
so is lay off rates the average.. ?
ok logically speaking, \[p_1={405\over1508}=0.2686\\ p_2={281\over1252}=0.2244\\ p=|p_1-p_2|=0.0442<0.05 \] so, we reject the null hypothesis and the difference between the layoff rates = 0.0442=4.42%
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