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Statistical Reference Guide
Contingency tables
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.
Select a cell in the dataset.
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.
If the data consists of paired/repeated measurements in separate variables:
In the
Model
drop-down menu, select
Paired / Repeated
.
In the
Y
lists, select two categorical variables.
If the data consist of matched pairs with a separate response variable, factor variable, and blocking variable:
In the
Model
drop-down menu, select
Matched
.
In the
Y
drop-down list, select the categorical response variable.
In the
X (factor)
drop-down list, select the categorical factor variable identifying the groups.
In the
Block
drop-down list, select the blocking variable identifying the matching.
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.
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
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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Administrator's Guide
User's Guide
Statistical Reference Guide
Distribution
Compare groups
Compare pairs
Contingency tables
Contingency table
Creating a contingency table
Creating a contingency table (related data)
Grouped frequency plot
Effect size
Estimators
Estimating the odds ratio
Estimating the odds ratio (related data)
Relative risk
Inferences about equality of proportions
Equality of proportions hypothesis test
Exact and asymptotic p-values
Wald, Score, Likelihood ratio
Tests for equality of proportions (independent samples)
Testing equality of proportions (independent samples)
Tests for equality of proportions (related samples)
Testing equality of proportions (related samples)
Inferences about independence
Mosaic plot
Creating a mosaic plot
Study design
Correlation and association
Principal component analysis (PCA)
Factor analysis (FA)
Item reliability
Fit model
Method comparison / Agreement
Measurement systems analysis (MSA)
Reference interval
Diagnostic performance
Survival/Reliability
Control charts
Process capability
Pareto analysis
Study Designs
Bibliography
Version 6.15
Published 18-Apr-2023
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