Exact(8)
As per the results obtained from Mann–Whitney U test, the means were found to be statistically equivalent (U = 51.000, p = 0.802).
The percentages were compared using the Chi-square test, the means by the t-test, and the medians by the Wilcoxon test for independent data.
To test the means differences, alpha (α = .05) has been chosen as Support H0 if the significance of the t-test is greater than alpha (no difference in means).
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.
Scott and Smith (1971) give the following test statistics to test the means under heteroscedasticity [ 10].
One-way analysis of variance was used to test the means of two or more groups with post hoc tests between groups.
Similar(52)
A one-sample Wilcoxon test was used to test the mean differences between the opposite hips.
a Mann-Whitney test b Chi-square test The mean OHIP-14 was 3.8 ± 7.5.
For the open provocation test, the mean HR data were normally distributed.
To test the mean-field model, the SCN model was simulated using several mutation schemes.
*Mann-Whitney U test – The mean difference is significant at p < 0.05.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com