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The strategy used to classify and evaluate the data was predetermined by the guideline; e.g. contraceptive use, motives for not using contraception, perceived HIV risk and condom use.
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One way to evaluate the data is through logistic regression analysis, which gives an estimate of how likely a candidate was to win the nomination based on the size of his national polling lead after New Hampshire.
And given the Pentagon's penchant for making everything cost 50 times what it actually costs – and the fact that evaluating the data is going to need administrators – it seems likely that, at base, PRISM is just one computer program.
The Shapiro-Wilk test was used to evaluate whether the data were normally distributed.
A preliminary analysis was performed by using the Anderson Darling test to evaluate whether the data were normally distributed.
However, this evaluation is not consistent with evaluating how the data are used in practise.
For each animal, at least 100 NMJ were evaluated and the data are presented as percentage of each category.
The normality assumption of the data was evaluated with the Shapiro-Wilk test.
The data was evaluated by mono-factorial analysis of variance (ANOVA).
The data was evaluated using simple descriptive statistics (non-parametric) and Spearman's correlation analysis.
The normality of the data was evaluated by the Kolmogorov-Smirnov test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com