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The difference in means was statistically significant (p = 0.01).
Here again, the differences in means was statistically significant at the 95% confidence level.
The difference between the two means was statistically significant (p < 0.003).
The difference between means was statistically analysed using the t-test.
The difference in these two means was statistically significant (t test = 3.07; df = 240; p=0.00240
The difference between two means was statistically analyzed using the two-sided nonpaired t-test.
Similar(49)
Table 2 Self-employment rate Mean 95%% interval Agriculture, manufacturing and trade Indigenous 0.5236 0.5226 0.5245 Non-indigenous 0.3665 0.3657 0.3672 Manufacturing Indigenouss 0.5875 0.5839 0.5911 Non-indigenous 0.3417 0.3390 0.444 According to the statistical test, the means are statistically different Source: INEGI 2010.
Even though, the truncated means of willingness to pay did not differ between the levels of scope, the overall means were statistically different.
ANOVA showed that these means were statistically different (p<0.001), and that the spatial variability plus random error accounted for 29% of the total variability.
The difference in means is statistically significant.
All means were statistically different from zero.
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