420 20 Sample Size and Power Platform One-Sample and Two-Sample Means
Difference to Detect
is the smallest detectable difference (how small a difference you want to be
able to declare statistically significant) to test against. For single sample problems this is the
difference between the hypothesized value and the true value.
Sample Size is the total number of observations (runs, experimental units, or samples) in your
experiment. Sample size is not the number per group, but the total over all groups.
Power is the probability of rejecting the null hypothesis when it is false. A large power value is better,
but the cost is a higher sample size.
Continue evaluates at the entered values.
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