Examples of 'kolmogorov-smirnov' in a sentence
Meaning of "kolmogorov-smirnov"
Kolmogorov-Smirnov refers to the Kolmogorov-Smirnov test, a statistical test used to compare a sample distribution with a theoretical distribution
How to use "kolmogorov-smirnov" in a sentence
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kolmogorov-smirnov
Data normality was obtained by Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was applied to evaluate normalcy.
Age symmetry was evaluated by Kolmogorov-Smirnov test.
Kolmogorov-smirnov test was used to calculate distribution of normality.
The variable symmetry was tested by Kolmogorov-Smirnov.
The value of the Kolmogorov-Smirnov test equal to p.
Normality of distribution was studied by Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov allowed the verification of data normality.
This was performed by the Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was used to verify normality of data.
Normality of variables was confirmed by the Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was used to evaluate data distribution.
Variable distribution was assessed by the Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was used to assess distribution of groups.
Continuous variables underwent the Kolmogorov-Smirnov test.
See also
The Kolmogorov-Smirnov test was used to test for normality.
Normality was verified using the Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was used in the data symmetry analysis.
The sample distribution was tested by Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was used to check normality of numerical data.
Data normality was tested using Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was used to evaluate the intergroup differences.
Normality was tested by using the Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was applied to verify the distribution of variables.
Initially underwent criteria of normality Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was used to determine the distribution of data.
Data normality was assessed by the Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov normality test for quantitative variables was used.
Normality was assessed by means of the Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was used to characterize the distribution of data.
Sample homogeneity was verified by the Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was used to assess the sample normality.
Normality was tested with the Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was applied to test the normality assumption.
Data normality was checked with Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was applied and confirmed data normality.
Analysis of normality distribution was performed by Kolmogorov-Smirnov test.
Data were subjected to the Kolmogorov-Smirnov test to determine distribution.
Normality of the distribution was assessed by Kolmogorov-Smirnov test.
The Kolmogorov-Smirnov test was used to assess normality of distribution of variables.
Normality was verified with the Kolmogorov-Smirnov test.
We performed the Kolmogorov-Smirnov test to verify the normality of data.
Normality was checked using the Kolmogorov-Smirnov test.
Subsequently, the Kolmogorov-Smirnov test was used to analyze normal distribution.
The approximation is measured by the Kolmogorov-Smirnov distance.
We used Kolmogorov-Smirnov test to verify the normality of the variables.
For mean comparison the Kolmogorov-Smirnov test was used.
The Kolmogorov-Smirnov test is a test that compares two distributions.
The normality of quantitative variables was tested by Kolmogorov-Smirnov test.
We performed the Kolmogorov-Smirnov test to assess normality of continuous variables.
