Calculating Standard Error Of A Sample Mean
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to a normally distributed standard error of sample mean excel sampling distribution whose overall mean is equal to the mean of the source
Standard Error Of Sample Mean Formula
population and whose standard deviation ("standard error") is equal to the standard deviation of the source population divided by the square root ofn. To calculate the standard error
Standard Error Of Sample Mean Equation
of any particular sampling distribution of sample means, enter the mean and standard deviation (sd) of the source population, along with the value ofn, and then click the "Calculate" button. -1sd mean +1sd <== sourcepopulation <== samplingdistribution standard error of sample means = ± parameters of source population mean = sd = ± sample size = Home Click this link only if you did not arrive here via the VassarStats main page. ©Richard Lowry 2001- All rights reserved.
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Standard Deviation Sample Mean
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the standard deviation of the original distribution and N is the sample size (the number of scores each mean is based upon). This formula does not assume a normal distribution. However, many of the uses of the formula do assume a normal distribution. The formula shows that the larger the sample size, the smaller the standard error of the mean. More specifically, the size of the standard error of the mean is inversely proportional to the square root of the sample size.