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The Shapiro-Wilk's test was used to test the data for normality.
Since the primary methodological technique used in building the measurement model was to be factor analysis, it was necessary to test the data for suitability with regard to the underlying assumptions.
The Kolmogorov Smirnov test was used to test the data for normal distribution, which was only found for the responses to the 50 statements in relation to the five scenarios and regarding the participants' age.
All additive regression models were fitted with a 2-dimensional smoothing function of the geographic location to test the data for spatial autocorrelation, which could not be described by observed causal predictors.
To test the data for normality of distribution, the Shapiro-Wilk test was used.
The purpose of meta-analysis is not just to obtain a summary estimate of treatment effect, but also to test the data for consistency (heterogeneity testing).
Similar(50)
For the three conditions tested, the data for the ΔclrA strain were similar to the WT strain.
Kolmogorov-Smirnov and Levene'test first tested the data for normality and homoscedasticity respectively.
We tested the data for normality with Levene's test.
However, we tested the data for such a cohort effect in two ways.
Non-parametric statistics tested the data for differences in their ability to perform the tests across 25(OH D categories.
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