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All means were statistically different from zero.
Differences between means were statistically analyzed using Fisher method (p = 0.05).
Tukey's multiple comparison test was used to determine which means among a group of 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.
Even though, the truncated means of willingness to pay did not differ between the levels of scope, the overall means were statistically different.
For the factor 'Ideal L2 Self', homogeneity of variance could not be assumed, but a Welch's F test indicated subgroup means were statistically significant (p < .05).05
Similar(33)
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.
The difference in means is statistically significant.
The difference in means was statistically significant (p = 0.01).
Here again, the differences in means was statistically significant at the 95% confidence level.
Difference in means is statistically significant from zero at ∗10% level, ∗∗5% level, and ∗∗∗1% level, respectively.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com