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  • Inferences about equality of proportions

Testing equality of proportions (related samples)

Test if there is a difference between the proportions of two or more related samples.

  1. Select a cell in the dataset.
  2. On the Analyse-it ribbon tab, in the Statistical Analyses group, click Compare Pairs, and then click the hypothesis test.
    The analysis task pane opens.
  3. 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 lists, select two categorical variables.
  4. 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 categorical 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.
  5. If the data are in frequency form, in the Frequency drop-down list, select the frequency count variable.
  6. In the Hypotheses drop-down list, select the null and alternative hypothesis.
  7. 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%).
  8. Click Calculate.
Related concepts
Equality of proportions hypothesis test
Related tasks
Testing equality of proportions (independent samples)
Related reference
Dataset layout
Tests for equality of proportions (related samples)
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  •  Testing equality of proportions (independent samples)
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Version 6.15
Published 18-Apr-2023
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