1. Statistical Reference Guide
  2. Distribution
  3. Continuous distributions
  4. Inferences about distribution parameters

Testing equivalence of distribution parametersTest if the mean of a distribution is equivalent to the hypothesized value.

  1. Select a cell in the dataset.
  2. On the Analyse-it ribbon tab, in the Statistical Analyses group, click Distribution, and then click TOST.
    The analysis task pane opens.
  3. In the Y drop-down list, select the variable.
  4. In the Hypothesized value edit box, type the expected value of the parameter under the null hypothesis.
  5. In the Hypothesized value edit box, type the expected value of the parameter, and then in the Equivalence bounds edit boxes, type the lower and upper bounds of the equivalence interval. For example, a hypothesized value of 65 with equivalence bounds of ±5. Alternatively, in the Hypothesized value edit box, type -, and then in the Equivalence bounds edit box, type the lower and upper limits of the equivalence interval. For example, 60 to 70.
  6. 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%).
  7. Click Calculate.
Available in
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From the Statistical Reference Guide for Analyse-it 6.24.0: https://analyse-it.com/docs/user-guide/distribution/continuous/testing-parameter-equivalence

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