# z-value

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## z-value

(in statistics) a normalized value created from a member of a set of data. Also called z-score.

## Z-value

(in statistics) indicates how many STANDARD DEVIATIONS away from the MEAN a value resides. For a given set of data the mean (x) is subtracted from each member (x) of the set; then each member is divided by the standard deviation (s) of the set: z = (x - x)/s. A positive score indicates the value is above the mean, a negative score indicates below. Z-values are useful in comparing sets of data with different means and standard deviations.

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Study name Statistics for each study Odds Lower Upper ratio limit limit Z-Value p-Value Liu L.
If z-value is positive, then, it is concluded that high values of the studied parameters have been clustered in the studied regions.
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16% Non-parametric test (Mann-Whitney Test): Z-value = -9.
804) and the z-value is significant at the 1% level suggesting that firms rated by only domestic agencies have smaller exposure to systematic risk.
14 Arellano-Bond test for serial correlation Ho: no autocorrelation of first order Z-value -10.
A chi-square contingency test for each of the five statements in Table 2 showed a Z-value significant at the 0.
46 Table 2 Summary Table on Test of Significant Difference in Reading Culture of Students Based on Gender Calculated Table Statistics Male Female Z-Value Value Number 4800 3700 Mean 2.
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The results showed that there is an enormous positive response of maize to rainfall variability in the entire region during 1973/1974 with z-value of about 1.
1 Alternative Exact (Binomial) Normal Approximation using (P0) Hypothesis Decision Decision Prob level (5%) Z-Value Prob Level (5%) P>P0 0.

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