Z = (mean1 - mean2)/standard error (SE) of difference between means
SEdiff = √(SEmean1^2 + SEmean2^2)
SEm = SD/√n
Can you answer the question with the above data?
Web Results For: the value of the z-score in a hypothesis test is influenced by a vareity of factors. Assuming other variables are held constant, explain how the value of z is influenced by increasing the difference between the sample mean and the original population mean
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