Sentence examples for data normalcy from inspiring English sources

Next, the Kolmogorov-Smirnov test and Levene's test were conducted to assess data normalcy and homoscedasticity, respectively.

In this method, the target is to form a boundary around the normalcy data by building a hyper-sphere.

We further analyzed the residual plot for the above linear regression model and determined the normalcy data range.

Normalcy of data was first established using D'Agostino and Pearson omnibus normality tests and was then analysed by parametric one-way analysis of variance followed by Newman Keuls post hoc tests (Graphpad Prism v5.0; La Jolla, CA, USA).

Before comparison tests were used, parametric data was tested for normalcy (Kolmogorov-Smirnov test) and homoscedasticity.

All age group data were tested for normalcy and homogeneity using Kolmogorov-Smirnov tests.

The data were tested for normalcy using the Kolmogorov-Smirnov test, which indicated a non-Gaussian distribution for all continuous variables; therefore, the results were reported as a median value and an interquartile range (IQR, 25th-75th quartiles).

However, as levels of IP3R1 go lower and lower, the fold increase in sensitivity needed to restore normalcy increases nonlinearly (data not shown).

Non-parametric data and values that did not meet normalcy and homoscedasticity criteria were reported as median and subjected to Mann–Whitney test to compare parcels and to Kruskal-Wallis (one-way analysis of variance), followed by Dunn's (non-parametric pairwise multiple comparisons procedure) post-hoc to compare subparcels.

After confirming that the data were normally distributed (Kolomogorov-Smirnov test of normalcy), statistical analyses were conducted using Student t test to compare differences in means.

And because of the lag time between signings and closings — typically about 60 days — that slowness resulted in data showing sluggish sales in October: another sign of normalcy.