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One way of measuring the quality of short-duration traffic data is testing the consistency (statistical dispersion) of the short-duration count data by itself.
Critical to the development of molecular signatures from microarray and other high-throughput data is testing the statistical significance of the produced signature in order to ensure its statistical reproducibility.
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Data were tested for normality using the Shapiro Normality Test.
Data were tested for normality.
Categorical data were tested using the chi-square test.
Data were tested for normality using the Kolmogorov Smirnov test.
Normality of data was tested using Shapiro-Wilk test value.
Normal distribution of data was tested via Kolmogorov-Smirnov test.
Data were tested graphically by fitting to various isotherms.
Basic exponential smoothing for different duration of data was tested.
The normal distribution of our data was tested before analysis.
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