Sentences with phrase «test statistic»
A test statistic is a number calculated from a sample of data. It helps us determine whether the data provides evidence for or against a particular hypothesis. It measures how far the sample data diverges from the expected values under the null hypothesis. Full definition
Worryingly, when King tested the statistic on his local NHL team, it showed the luckiest players were getting contract extensions while the unlucky ones were being dropped.
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History does not record anyone testing this statistic.
Other notable genes that were suppressed included stress - responsive genes, such as MME (membrane metallo proteinase; paired t - test statistic = 4.18 and P = 7.37 E − 05) and FOXO3 (paired t - test = 4.89 and P = 5.21 E − 06).
The researcher used Sobel test statistics Calculatorand results show the Sobel test statistic, and both one - tailed and two - tailed probability values as shown in Table 24.
Test of equality of health care cost means for patients with a medical condition according to their FP and patients with Health anxiety were done by computing the bootstrap test statistic achieved significance level (ASL)[38].
Finally, manuscripts had to present the results of a bivariate analysis of the association between attachment and delinquency or provide enough details to calculate a bivariate test statistic.
I (2) test statistic was used to assess heterogeneity.
The definition illustrates why the concept makes even very smart people reach for their liquor cabinets: «In statistical hypothesis testing, the p - value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true.»
The hypothesis that the post 1998 period is consistent with the existing understanding of anthropogenic climate change is evaluated with a test statistic that evaluates the null hypothesis that the long - run relationship between global surface temperature and radiative forcing is unchanged after 1998.
Assume we set alpha to 0.05, and conclude the accused is guilty if our test statistic provides p < 0.05.
To evaluate model fit, the X2 - test statistic, the comparative fit index (CFI), root mean square error of approximation (RMSEA) and standardized root mean square residual (SRMR) were used.
First, we retrieved the study results (test statistic and value) and sample size.
However, the results of an initial CFA, which utilized a WLSMV - estimator (i.e., Weighted Least Square estimator with a Mean - and Variance - adjusted Chi square test statistic) because of the categorical coding categories, showed some support for these two factors through the satisfactory to good factor loadings (>.30; as stated by Tabachnick and Fidell 2007) for all but two items («constraining» and «shame inducing»).