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Performing a Pearson X² / Likelihood ratio G² hypothesis test

Test if the parameters of a multinomial distribution are equal to the hypothesized values.

  1. Select a cell in the dataset.
  2. On the Analyse-it ribbon tab, in the Statistical Analyses group, click Distribution, and then click the hypothesis test.
    The analysis task pane opens.
  3. In the Y drop-down list, select the categorical variable.
  4. If the data are in frequency form, in the Frequency drop-down list, select the frequency count variable.
  5. In the Hypotheses drop-down list, select the null and alternative hypothesis.
  6. In the Hypothesized values group, select:
    • Are all equal to set the hypothesized values equal for each category.
    • Are equal to specified, and then in the grid, under the Value column alongside each category, type values as either probabilities/proportions or number of occurrences.
  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
Multinomial distribution parameters hypothesis test
Related reference
Dataset layout
Tests for the parameters of a Multinomial distribution
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Published 18-Apr-2023
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