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Statistical Reference Guide
Distribution
Discrete distributions
Inferences about Multinomial distribution parameters
Performing a Pearson X² / Likelihood ratio G² hypothesis test
Test if the parameters of a multinomial distribution are equal to the hypothesized values.
Select a cell in the dataset.
On the
Analyse-it
ribbon tab,
in the
Statistical Analyses
group,
click
Distribution
, and then click the hypothesis test.
The analysis task pane opens.
In the
Y
drop-down list, select the categorical variable.
If the data are in frequency form, in the
Frequency
drop-down list, select the frequency count variable.
In the
Hypotheses
drop-down list, select the null and alternative hypothesis.
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.
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
.
Related concepts
Multinomial distribution parameters hypothesis test
Related reference
Dataset layout
Tests for the parameters of a Multinomial distribution
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Statistical Reference Guide
Distribution
Continuous distributions
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Frequency distribution
Inferences about Binomial distribution parameters
Inferences about Multinomial distribution parameters
Multinomial distribution parameters hypothesis test
Tests for the parameters of a Multinomial distribution
Testing Multinomial distribution parameters
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Version 6.15
Published 18-Apr-2023
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