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 3 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?
 3 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?

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

LagrangeSon678
 3 years ago
Best ResponseYou've already chosen the best response.1basically your looking for standard deviation?

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

LagrangeSon678
 3 years ago
Best ResponseYou've already chosen the best response.1basically are you looking for a formula

TranceNova
 3 years ago
Best ResponseYou've already chosen the best response.2Hmmm 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

LagrangeSon678
 3 years ago
Best ResponseYou've already chosen the best response.1there is a formula for this situation and i believe it can be applied here

LagrangeSon678
 3 years ago
Best ResponseYou've already chosen the best response.1its a formula for a finding the standard deviation of the sampling mean differences

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

TranceNova
 3 years ago
Best ResponseYou've already chosen the best response.2Just 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
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