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Statistical Reference Guide
Distribution
Continuous distributions
Normality
Creating a normal probability plot
Plot a Normal (Q-Q) plot to subjectively assess the normality of a quantitative variable.
Select a cell in the dataset.
On the
Analyse-it
ribbon tab,
in the
Statistical Analyses
group,
click
Distribution
>
Normal
, and then click the plot type.
The analysis task pane opens.
In the
Y
drop-down list, select the variable.
Optional:
To label the points using the case label, if set, otherwise the observed value, select the
Label points
check box.
Optional:
To show the normal distribution and confidence band, select the
Normal distribution line
check box, and, if required, in the
Confidence band
edit box, type the level of confidence.
Click
Calculate
.
Related concepts
Normal probability (Q-Q) plot
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
Continuous distributions
Univariate descriptive statistics
Calculating univariate descriptive statistics
Univariate plot
Creating a univariate plot
Frequency distribution
Normality
Normal distribution
Normal probability (Q-Q) plot
Creating a normal probability plot
Normality hypothesis test
Tests for normality
Testing the normality of a distribution
Central limit theorem and the normality assumption
Inferences about distribution parameters
Discrete distributions
Study design
Compare groups
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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