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Statistical Reference Guide
Compare groups
Creating side-by-side univariate plots (dot plots, box plots, mean plots) for grouped data
Summarize the distribution of a single quantitative variable stratified into groups.
Select a cell in the dataset.
On the
Analyse-it
ribbon tab,
in the
Statistical Analyses
group,
click
Compare Groups
>
Univariate
, and then click the plot type.
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.
Optional:
To overlay more than one plot type on the same chart, on the
Analyse-it
ribbon tab, in the
Compare Groups
group, click
Univariate
, and then click an additional plot type.
Optional:
In the analysis task pane, customize the options for the plot.
Click
Calculate
.
Related concepts
Side-by-side univariate plots
Related reference
Dataset layout
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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