One-Sample Equivalence TestDifference |
The difference table shows the difference between the mean and the target value. The table also shows the confidence interval for the difference and the equivalence interval. If the confidence interval is completely within the equivalence interval, then you can claim that the product or process mean is equivalent to the target value.
Example Output |
Difference: Mean(Force) - Target
Difference SE 95% CI Equivalence Interval 0.28500 0.13831 (0, 0.52059) (-0.42, 0.42)
CI is not within the equivalence interval. Cannot claim equivalence. |
Interpretation |
For the snack bag analysis, the difference between the sample mean and the target value is 0.28500. The confidence interval (0, 0.52059) extends beyond the equivalence interval (-0.42, 0.42). Thus you cannot conclude that the force that is required to open the new snack bags is equivalent to the target value.
The equivalence plot is a useful way to visualize these results.