If your data are in a column of the worksheet, complete the following steps.
Click in Sample to see the columns that are available for your analysis.
C1 |
---|
Strength |
250.1 |
253.0 |
247.8 |
248.2 |
If you have summary statistics for the sample, rather than sample data in the worksheet, complete the following steps.
Test whether the difference between the mean of the test population and the target is within the limits that you specify.
For example, an analyst wants to determine whether the mean strength of a generic drug is within ± 10 mg/ml of the target strength.
Test whether the mean of the test population is greater than the target.
For example, a food analyst wants to determine whether a less expensive formulation of a dry dog food has a mean amount of protein that is greater than 20g (per 100g of food).
Test whether the mean of the test population is less than the target.
For example, an analyst wants to determine whether the mean time for a new medication to take effect is less than 5 minutes.
Test whether the difference between the mean of the test population and the target is greater than a lower limit.
For example, a researcher wants to determine whether an experimental drug induces a mean reduction in diastolic blood pressure that is greater than the expected reduction (target) by 3 mm Hg or more.
Test whether the difference between the mean of the test population and the target is less than an upper limit.
For example, an analyst wants to determine whether the mean waiting time in an emergency department is less than 10% over target.
Enter a value for each equivalence limit that is included in the alternative hypothesis.
Enter the lowest acceptable value for the difference. You want to demonstrate that the difference between the mean of the test population and the target is not lower than this value.
Enter the highest acceptable value for the difference. You want to demonstrate that the difference between the mean of the test population and the target does not exceed this value.
Select to specify that the limit represents a proportion of the target. Use to test whether the mean of the test population is within a certain percentage of a target. For example, select this option to change the limit from a fixed value of 0.1 to a value that equals 10% of the target.