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Statistical Reference Guide
Compare pairs
Testing equality of means/medians (related samples)
Test if there is a difference between the means/medians 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
list, select the quantitative 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 quantitative 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 performing a 2 sample hypothesis test:
In the
Hypotheses
drop-down list, select the null and directional alternative hypotheses.
In the
Hypothesized difference
edit box, type the expected difference under the null hypothesis.
If performing a k sample hypothesis test:
In the
Hypothesis
drop-down list, select the null and alternative hypotheses.
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 means/medians hypothesis test
Related reference
Dataset layout
Tests for means/medians
Available in Analyse-it Editions
Standard edition
Method Validation edition
Quality Control & Improvement edition
Ultimate edition
What is Analyse-it?
What's new?
Administrator's Guide
User's Guide
Statistical Reference Guide
Distribution
Compare groups
Compare pairs
Difference plot
Creating a Tukey mean-difference plot
Equality of means/medians hypothesis test
Equivalence of means hypothesis test
Tests for means/medians
Testing equality of means/medians
Testing equivalence of means
Difference between means/medians effect size
Estimators for the difference in means/medians
Estimating the difference between means/medians
Study design
Contingency tables
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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