test of significance

test of significance

[′test əv sig′nif·ə·kəns]
(statistics)
A test of a hypothetical population property against a sample property where an acceptance interval is used as the rule for rejection.
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Chi-square (X2) test of significance was used for comparison of two qualitative parameters.
For quantitative type of data test of significance applied was student t test and for Qualitative data Chi square test was applied.
A two-tailed test of significance indicated that there was a significant positive relationship between personality test scores and early response rates in Timewall test (=0.592, n=27, p=0.001) but a negative relationship between personality test scores and late response rates in Timewall test (=-0.591, n=27, p=0.001).
Chi square test of significance was applied to find improvement in scores before and after simulation.
Analysis was done by using SPSS (Statistical Package for the Social Sciences) software and necessary test of significance (McNemar's test) was applied.
In the test of significance, 28 cases had significant difference in the nasal airflow due to DNS, 6 cases had highly significant obstruction due to DNS, and 16 cases did not had significant change in air flow.
The collected data were analyzed by using percentage, mean score and test of significance. The score set to observe the level of political awareness in this study is given as under:
Table-2 shows the mean score of residents and attending physicians to individual questions and the p-value as a test of significance between the acquired results (obtained by the independent t-test).
Applying the test of significance, we get a t-value of 7.75, the mean difference was statistically significant at a threshold of p<0.05.
What is absent is any test of significance or determination of what if anything was genuinely, seriously, innovative apart from 'not tried here before.
Frequency distribution and Chi-Square test of significance were performed.
3.34 10.19 0.00 Table 4 Tests of Significance for Indirect Effects (Tests Based upon Assumption of Normality) Coeff z P> [absolute value of (z)] Sobel 0.10 3.83 0.00 Aroian 0.10 3.80 0.00 Goodman 0.10 3.86 0.00 Proportion of Total Effect that is Mediated =0.18 Ratio of Indirect to Direct Effect =0.22 Table 5 Test of Significance for Indirect Effect (Test Based upon Bootstrap Method) No.

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