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Continuous variables were described by means and evaluated by using Student t test.
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We recommend that employers promote the occupational health of their staff through various means and evaluate outcomes periodically.
All experimental data in this work were presented as the mean ± standard error of the mean and evaluated using one-way ANOVA followed by the least significant difference test, with P < 0.01 and P < 0.05 (SPSS 16.0 for Windows).
The data were screened for significant outliers (i.e., data points >3.5 SD from the overall group mean) and evaluated for normality (i.e., Shapiro Wilk W test, P < 0.05).
Data were expressed as mean ± standard error of the mean (SEM) and evaluated for significant differences by means of a 2-tailed Student's t-test (Microsoft Excel).
Reduction of OM content by the means proposed and evaluated in this experiment can drastically increase infiltration rates.
For determining a suitable number of clusters k the investigator has to test different numbers with k-means and evaluate whether the resulting clusters represent significant accumulation points of the data.
All values were presented as means ± SEM and evaluated for statistical significance with one-way ANOVA followed by Duncan's multiple range test.
All data were presented as mean ± SD, and evaluated by one-way ANOVA.
Data were expressed as mean ± SD and evaluated using Student's t-test for comparison with wild-type samples.
The set of sigma points is calculated from the state mean and covariance and evaluated through the non-linear observation function.
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