The paired samples t-tests or signed rank sum test was used based on data distribution to compare differences between pre-treatment and post-treatment within one group.
The non-parametric techniques are not based on data distribution and hence not restricted.
In this paper, we propose a novel feature which learns discriminative information based on data distribution and shape statistics for pedestrian detection.
Independent-samples t-tests or Mann Whitney U-tests were used based on data distribution to compare differences between the two groups.
Results are presented as mean ± standard deviation or median and interquartile range, based on data distribution (Kolmogorov-Smirnov test).
Variables were chosen based on data distribution (e.g., no floor or ceiling effects) and/or conventional use in the research literature.
KMO analysis yielded an index of 0.94, and BTS (χ2 = 7758.34, df = 91, p < 0.001) was highly significant indicating the data satisfied the psychometric criteria for the factor analysis to be performed based on data distribution characteristics.
The assays have been run in triplicates and statistical significance has been calculated based on data distribution (normal or non-parametric) using a Student's t-test or a Mann-Whitney test using Graphpad Prism 4.03 (Graphpad Software Inc., Suite, La Jolla, CA, USA).
For each outcome, the expected number of events will be computed as the sum of predicted probabilities from a multivariable model (logistic regression or zero inflated negative binomial models based on data distribution) derived using data from all other networks with adjustment for confounders.
These scatterplots were used to determine the appropriate data transformations, based on data frequency distributions, for testing the relationships between price measures and numbers of subjects in bivariate regressions.
