Examples of 'normality test' in a sentence
Meaning of "normality test"
normality test - In statistics, a normality test is a method used to assess whether a dataset follows a normal distribution
How to use "normality test" in a sentence
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normality test
A normality test and variance homogeneity test were conducted.
The values were subjected to normality test.
A normality test was applied to evaluate the data sampling distribution.
Data collected was subjected to a descriptive analysis and normality test.
A normality test was performed.
Residual normality test.
Numerical variables were analyzed using the Kolmogorov-Smirnov normality test.
The Lilliefors normality test was utilized in the analysis of the data distribution.
Data were subjected to a normality test Shapiro-Wilk.
For continuous variables we applied the kolmogorov-smirnov normality test.
The Kolmogorov Smirnov normality test was performed.
For the quantitative variables was performed the kolmogorov-smirnov normality test.
The Shapiro-Wilk normality test was applied.
Thus, normality test can also be used to reject readings from the defects.
In the statistical analysis the Kolmogorov-Smirnov normality test was initially used.
See also
The Shapiro-Wilk normality test was used to verify the data distribution.
We tested the probability of distribution of continuous variables by the normality test of Kolmogorov-Smirnov.
The Kolmogorov-Smirnov normality test for quantitative variables was used.
To verify the normality of the data the Kolgomorov-Smirnov normality test was used.
We conducted a normality test for the continuous variable " graft obstructed area.
Normality was assessed by visual inspection of histograms and application of Shapiro-Wilks normality test.
The Shapiro-Wilk normality test was performed to verify the distribution of variables.
The distribution of quantitative measurements was also assessed by the normality test of Kolmogorov-Smirnov.
A Kolmogorov-Smirnov normality test was applied to verify the distribution of the sampling data.
Unpaired t test or Mann-Whitney test were used to compare means, according to normality test.
When the normality test was significant, we used the statistical test of analysis of variance.
All numeric variables of the study were subjected to the D'Agostino-Pearson normality test.
The Shapiro-Wilk normality test was applied followed by either parametric or nonparametric methods.
The results were submitted to exploratory statistical analysis and shapiro-wilk normality test.
The normality test used for the distribution of the differences was the Kolmogorov-Smirnov.
The Shapiro-Wilk test is a better normality test when the sample size is small.
The normality test Kolmogorov-Smirnov was used to define the use of parametric or non-parametric analyses.
The statistical analysis of the data started with the normality test Kolmogorov-Smirnov.
The Kolmogorov-Smirnov normality test was used to test for the normality of the data.
The normality assumption was evaluated by visual inspection of histograms and D'Agostino-Pearson omnibus normality test.
In continuous variable assessment, continuous variable normality test was carried out through Kolgomorov-Smirnov test.
After the descriptive analysis, all quantitative variables were verified using the Kolmogorov-Smirnov normality test.
This research aims to compare the shapiro-wilk normality test with a proposed univariate normality test.
The data were previously assessed with regard to the distribution using the Shapiro-Wilk normality test.
Application of the Kolmogorov-Smirnov normality test revealed that none of the variables showed a normal distribution.
Jarque-Bera test is use as the normality test.
The Shapiro-Wilk normality test was applied, and the statistic indicates normality when close to one.
The normality of the sample data was verified through the Kolmogorov-Smirnov Normality test.
Shapiro-Wilk normality test was used to test variables.
To verify the Gaussian distribution of the variables, the Shapiro-Wilk normality test was applied.
Shapiro-Wilk normality test was applied for obtaining results.
Prior to statistical analysis, a D'Agostino and Pearson normality test was used to check data distribution.
Shapiro-Wilk normality test was performed for all baseline parameters.
Normal distribution of the data was calculated using the D ′ Agostino & Pearson omnibus normality test.
Jarque-Bera normality test is a common tool for normality testing.
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