A packaging engineer wants to test a new method to seal snack bags. The force that is required to open the bags should be within 10% of the target value of 4.2 N (Newtons). The engineer randomly samples 28 bags that are sealed using the new method and records the force that is required to open each bag.
The engineer performs a 1-sample equivalence test to determine whether the mean force that is required to open bags with the new seal is within 10% of the target of 4.2 N.
From the drop-down list, select Sample in a column.
In Sample, enter Force.
In Target, enter 4.2.
From What do you want to determine? (Alternative hypothesis), select Lower limit < test mean - target < upper limit.
In Lower limit, enter –0.1.
In Upper limit, enter 0.1.
Select Multiply by target.
Click OK.
Interpret the results
The confidence interval is not completely within the equivalence interval. Therefore, the engineer cannot claim that the force that is required to open the bags with the new seal is equivalent to the target of 4.2 N.
Descriptive Statistics
Variable N Mean StDev SE Mean
Force 28 4.4850 0.73188 0.13831
Difference: Mean(Force) - Target
95% CI for
Difference SE Equivalence Equivalence Interval
0.28500 0.13831 (0, 0.520586) (-0.42, 0.42)
CI is not within the equivalence interval. Cannot claim equivalence.
Test
Null hypothesis: Difference ≤ -0.42 or Difference ≥ 0.42
Alternative hypothesis: -0.42 < Difference < 0.42
α level: 0.05
Null Hypothesis DF T-Value P-Value
Difference ≤ -0.42 27 5.0972 0.000
Difference ≥ 0.42 27 -0.97605 0.169
The greater of the two P-Values is 0.169. Cannot claim equivalence.
Equivalence Test: Mean(Force) - Target
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