z-test


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z-test

a statistical test using normalized data (z-values) to determine if differences in proportions between sets of data or between individual members of different sets of data are large enough to be statistically significant.
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The results for these strategies are shown in Table 5 with the number of bets placed (N), the actual return to the betting strategy noted, the expected return of the betting strategy, and the z-test comparing the actual and expected returns based upon the test established by Gandar et al.
This particular path would be select the output box named "critical ratio for difference" in order to assess the z-test for every variable in dataset.
0 Unspecified Table 2 Z-test for Significance of Endorsement Difference between Normative and Christian Samples L-r Normative Religious Z-test P value Item # Female % Female % (2-tailed) Endorsement Endorsement (n = 1462) (n = 76) 16 (a) 18 36.
Comparing the patient's peak heart rate with the heart rate reserve value yielded a z-test statistic of 2.
Finally, we used a Z-test on rank differences and Spearman's test for rank correlation to determine if the COLA rankings differ from nominal data rankings (Spearman, 1904).
New to this edition are exercises using the latest versions of SPSS and Excel based on data sets available online, a chapter on the one-sample Z-test, mini-SSPS and math primers, and notes to instructors.
Thus, the Z-test will be used to determine the statistical significance of the difference in two categories, as it was done for AURC (3, and references therein).
To test differences in proportions of juveniles over different sample populations, all five sample populations were compared against each other using a z-test of significance for two proportions (Baldi & Moore 1996).
To test whether any 2 aggregated odds ratios were significantly different, we used the z-test described by Altman and Bland (8).