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Statistical Reference Guide
Compare groups
Comparing multiple means/medians
Compare the means/medians of many independent samples.
Select a cell in the dataset.
On the
Analyse-it
ribbon tab,
in the
Statistical Analyses
group,
click
Compare Groups
, and then click the multiple comparisons procedure.
The analysis task pane opens.
In the
Y
drop-down list, select the quantitative response variable.
In the
X
drop-down list, select the categorical factor variable identifying the groups.
In the
Type
drop-down list, select the comparisons, and then:
If comparing with best, in the
Best
drop-down list, select the "best" group.
If comparing against a control, in the
Control
drop-down list, select the control group.
Optional:
To sort the contrasts by the magnitude of the difference, select the
Ordered
check box.
Optional:
In the
Method
drop-down list, select the multiple comparisons procedure, and in the
Confidence interval
edit box, type the confidence level as a percentage, or type
-
to suppress the confidence interval, and then in the
Confidence bounds
drop-down list, select the limits.
Optional:
To perform a hypothesis test to test if the difference is equal to 0, select the
Hypothesis test
check box, and then to compare the p-value, in the
Significance level
edit box, type the predefined significance level.
Optional:
To show a mean-mean scatter plot, select the
Mean-Mean
scatter plot check box.
Click
Calculate
.
Related concepts
Multiple comparisons
Mean-Mean scatter plot
Related reference
Dataset layout
Multiple comparison procedures
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
Calculating univariate descriptive statistics, by group
Side-by-side univariate plots
Creating side-by-side univariate plots
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
Multiple comparisons
Mean-Mean scatter plot
Multiple comparison procedures
Comparing multiple means/medians
Homogeneity of variance hypothesis test
Tests for homogeneity of variance
Testing homogeneity of variance
Study design
Compare pairs
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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