Sentence examples for test of the statistical from inspiring English sources

To affirm the reliability of the conclusion drawn above, a test of the statistical significance of the difference in the slopes of the curves in Fig. 3 is presented in Table 4.

At the bottom of Table 5, we report the change in BC or CRC screening rates for a unit (percent) increase in the managed care penetration rate in the different regulatory regimes, and provide a joint test of the statistical significance of each scenario.

At the bottom of Table 6, we report the change in BC or CRC screening rates for a unit (percent) increase in the poverty rate in the different regulatory regimes, and provide a joint test of the statistical significance of each scenario.

Data were analyzed by using two-way ANOVA test of the statistical analysis system (SAS Institute, version 9.1, Cary, NC, USA).

A joint test of the statistical importance of state dummies shows that state specific factors are associated with the likelihood of public insurance and private insurance, but not uninsurance.

A Wald test of the statistical significance for the exposure terms, considered simultaneously, was significant for the C&RT model as well as the comparison model (p = 0.006 and p < 0.001, respectively).

To conclude that the coefficients 1.30 and 0.51 from the first (M1) and second (M2) regressions, respectively, are statistically different and hence a likely shift in energy consumption more at nonpeak compared peak TOU zone in 2013 and 2014, an F-test of the statistical equivalence of the coefficients 1.30 and 0.51 is performed.

Table 3 also presents tests of the statistical equivalence of the IMM samples within each phase.

In Table 4 we report approximate p-values from tests of the statistical significance of the nonlinear effects of mother's and father's age, all generated by mgcv.

The hypotheses to be tested involve tests of the statistical significance of β5 and β6.

We then compared distributions among categories of demographic and clinical characteristics of the HIV- positive and HIV-negative groups, using Chi square tests of the statistical significance of group differences.