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Statistical Reference Guide
Distribution
Continuous distributions
Normality
Testing the normality of a distribution
Test if a distribution is normal.
Select a cell in the dataset.
On the
Analyse-it
ribbon tab,
in the
Statistical Analyses
group,
click
Distribution
, and then click the hypothesis test.
The analysis task pane opens.
In the
Y
drop-down list, select the 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
Normality hypothesis test
Related reference
Dataset layout
Tests for normality
Available in Analyse-it Editions
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Method Validation edition
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Ultimate edition
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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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