two-tailed test


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two-tailed test

[′tü ‚tāld ‚test]
(statistics)
A statistical test in which the critical region consists of those values of a test statistic less than a given value as well as those values greater than another given value. Also known as two-tail test.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
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At the deepest levels (i.e., levels 5-8), we observed a statistically significantly higher error rate as compared to the shallower levels (as judged again using Fisher's exact two-tailed test).
(13) The ethnic interaction variables are retained if the corresponding estimate is significant at the 10 percent level or better using two-tailed tests.
The correlation coefficient between resident status before acquisition and economic status after acquisition is 0.393 and the p-value for two-tailed test of significance is less than 0.05.
Participants in Site 1 showed a lower level of lack of personal achievement than those at Site 2 (t=2.68, df=58, p<.05, two-tailed test).
As shown in Table 8, a correlation frequency in feminine self-esteem level and coping style could not have linear-by-linear association, a two-tailed test significant at p > .05.
For instance, the alpha could be set as a .05 one-tailed test instead of a two-tailed test. The change from a two-tailed test to a one-tailed test, however, must be based on prior research to indicate the predicted directionality of the results, which is impossible without sufficient literature.
Table 1: T-test for VoDSL service level 640K / 640K at -10dBm Case A 640K/640K 10AB vs 10BA t-Test: Paired Two Sample for Means Variable 1 Variable 2 Mean 4.2558 4.2858 Variance 0.0005 0.0003 Observations 12 12 Pearson Correlation -0.1927 Hypothesized Mean Difference 0.0000 df 11 tStat -3.3798 P(T<=t) one-tail 0.0031 t Critical one-tail 1.7959 P(T<=t) two-tail 0.0061 t Critical two-tail 2.201 The P-value is 0.0031 for the one-tailed and 0.0061 for two-tailed tests The two variables are positively correlated.
This hypothesis tests for a given common value [p.sub.0] for both binomial parameters, yielding an essentially two-tailed test. Note also that the hypothesis assumes that both binomial parameters are indeed equal and that we do not aim at testing their equality per se.
* p<.10, two-tailed test, ** p<.05, two-tailed test, *** p<.(11, two-tailed test.
of jobs outsourced 0.67 1.90 * Subcontracting work 0.64 2.05 ** Acquiring parts or services from unaffiliated domestic company 0.71 1.47 Acquiring parts or services from foreign affiliate or subsidiary abroad 0.71 4.69 *** Acquiring parts or services from unaffiliated foreign-based company 0.72 5.02 *** * statistically significant at p < 0.1 (two-tailed test) ** statistically significant at p < .05 (two-tailed test) *** statistically significant at p < .01 (two-tailed test) TABLE 2 A Financial Measure Construct N Mean 1.
Two-tailed test were applied then the value of t checked through critical region.