was used to check significant proportion (percent) difference between the M.
The data were recorded and analyzed by SPSS software 17 version using Z-test
and chi square test and a value of p<0.
was used for significance and Spearman test was used to see the association between patients' satisfaction and age, level of education, number of admissions, waiting time for doctor after admission and number of days at hospital while chi-square test was used to see the significant association between patients' satisfaction and type of admission, marital status and gender.
denotes significant change in percentage according to Z-test
for proportions at p=0.
However, some authors claim that the Z-test
and the [chi square]-test present a problem when significantly large samples are used, defined as the "excess power" problem (Nigrini & Mittermaier, 1997; Nigrini, 2000; Krakar & Zgela, 2009).
if abundance indices and mark--resight estimates change at the same rate over time (slopes < 1, for example, suggest a saturation effect: Caughley 1977), we used the Z-test
to check if beta values of the linear models were significantly different from 1.
for proportions was used to determine the significance of the difference in mortality between male and female patients admitted to the unit.
Reliability of calculated preferences were verified by Bonferroni Z-test
(Z(2) = 2.
The proportion of traps with zero captures was compared by Z-test
for both experiments.
for difference between two proportions was applied for statistical significance.
6) equal to] 2,500 miles, n = 142,573 Test for Trend z-Test
Then to compare the mean value of each indicator Z-test