Testing equivalence of meansTest if there is equivalence of means of two related samples.

Select a cell in the dataset.
On the Analyse-it ribbon tab, in the Statistical Analyses group, click Compare Pairs, and then click TOST hypothesis test.
The analysis task pane opens.
If the data consists of paired/repeated measurements in separate variables:
1. In the Model drop-down menu, select Paired/Repeated.
2. In the Y list, select the quantitative variables.
If the data consist of matched pairs with a separate response variable, factor variable, and blocking variable:
1. In the Model drop-down menu, select Matched.
2. In the Y drop-down list, select the quantitative response variable.
3. In the X (factor) drop-down list, select the categorical factor variable identifying the groups.
4. In the Block drop-down list, select the blocking variable identifying the matching.
In the Equivalence interval edit boxes, type the lower and upper bounds of the equivalence interval. For example, type-5 to +5 if differences between the means of ±5 is the effect size considered to be practically the same.
Optional: To compare the p-value against a predefined significance level, in the Significance level edit box, type the maximum probability of rejecting the null hypothesis when in fact it is true (typically 5% or 1%).
Click Calculate.