To calculate a sample size for a hypothesis test about k mean, specify the following quantities in the legacy calculator:
Alpha
The probability of a type I error, which is the probability of rejecting the null hypothesis when it is true. It is commonly referred to as the significance level of the test. The default alpha level is 0.05.
Std Dev
The assumed standard deviation where all groups are assumed to have equal standard deviation.
Extra Parameters
The number of parameters other than the μ in the hypothesis test. This option can be used for multi-factor designs. Leave the default 0 in this field in simple cases.
Prospective Means
The assumed values for the means. At least two means must be specified.
Specify one of the following values to calculate the second, or leave both values blank to obtain a plot of the relationship between the two:
Sample Size
The total number of observations (runs, experimental units, or samples) in your experiment. Use a sample size of n/k in each group, where n is the total number of observations.
Power
The probability of rejecting the null hypothesis when it is false. With all other parameters fixed, power increases as sample size increases.
Continue
Evaluates the missing value when one parameter is specified, or launches a plot comparing two parameters if no parameters are specified.
Back
Returns to the previous Sample Size and Power launch window.