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Standard Error: Okay, so I keep getting confused. If I have 2 samples from one treatment and 2 from another then I calc the difference between the means for these two samples, how do I find the standard error of the difference of the two means?
 2 years ago
 2 years ago
Standard Error: Okay, so I keep getting confused. If I have 2 samples from one treatment and 2 from another then I calc the difference between the means for these two samples, how do I find the standard error of the difference of the two means?
 2 years ago
 2 years ago

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TranceNovaBest ResponseYou've already chosen the best response.2
Does my question make sense?
 2 years ago

LagrangeSon678Best ResponseYou've already chosen the best response.1
basically your looking for standard deviation?
 2 years ago

TranceNovaBest ResponseYou've already chosen the best response.2
Well the standard error is the standard dev/ sqrt(n), but I presume any rules applying to stdev also apply for standard error.
 2 years ago

LagrangeSon678Best ResponseYou've already chosen the best response.1
basically are you looking for a formula
 2 years ago

TranceNovaBest ResponseYou've already chosen the best response.2
Hmmm if there is one? The problem is I can get the standard error of both means but when I minus one mean from the other I don't know the standard error of the resulting number
 2 years ago

LagrangeSon678Best ResponseYou've already chosen the best response.1
there is a formula for this situation and i believe it can be applied here
 2 years ago

LagrangeSon678Best ResponseYou've already chosen the best response.1
its a formula for a finding the standard deviation of the sampling mean differences
 2 years ago

TranceNovaBest ResponseYou've already chosen the best response.2
Thanks, I'm looking it up now
 2 years ago

TranceNovaBest ResponseYou've already chosen the best response.2
Just posting this so when I come looking for it again it'll be saved on here :P SE = sqrt[(s12/n1) + (s22/n2)] where s1 is the standard deviation of sample 1, s2 is the standard deviation of sample 2, n1 is the size of sample 1, and n2 is the size of sample 2. Cheers LagrangeSon, now my chart has error bars hehe P.s. You know there are 52 other facts you haven't read :P
 2 years ago
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