Sentence examples for by rejecting the null from inspiring English sources

Evidence of causality from FDI to real GDP per capita is established by rejecting the null hypothesis.

By rejecting the null hypothesis, the test statistics indicates that there is cointergration relationship between cashless payments and economic growth in Austria, Belgium, France, Germany, and Portugal.

If we consider that the predefined significance is the maximum risk that we are prepared to take by rejecting the null hypothesis and that the observed or calculated significance corresponds to the p value, then the null hypothesis is rejected if the observed significance is less than the predefined significance.

We determined that human-to-human spread did occur by rejecting the null hypothesis of no human-to-human transmission (p = 0.009).

Due to this fact, we did not limit our analysis to the test of statistical significance by rejecting the null hypothesis.

Correlation between the movements of beads and IFT trains was demonstrated by rejecting the null hypothesis (IFT and bead movement was uncorrelated) using Kolmogorov-Smirnov statistics.

The hypotheses for both studies were based on expected ORR (⩾15%), accordingly the sample sizes (calculation using SAS version 8.2, UNIX/Solaris) ensured ⩾74% power to deem lapatinib monotherapy effective by correctly rejecting the null hypothesis (H0: P<0.05) and accepting the alternative hypothesis (H1: P>0.15).

Evidence of causality from economic growth to FDI growth is established by rejecting the following null hypothesis, expressed in terms of the coefficients, H_{0} :left{ {b_{1}^{21} = b_{2}^{21} = cdots = b_{k}^{21} = 0} right}, (3b where b i 21 are the coefficients of GDP t−1 to GDP t−k in the second equation of model (1).

The hypothesis test attempts to classify the lot by accepting or rejecting the null usually by examining a small random sample.

Thus, path models which provided a good account of the observed data were indicated by the impossibility of rejecting the null hypothesis (p>0.05); likewise a good fit of the model corresponded to low values (p<0.1) for the root mean square error of approximation (RMSEA).

Type I and Type II error rates, as defined by the frequency of rejecting the null or alternative hypothesis under the null or the alternative, respectively, were also estimated.