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Where ANOVA showed significant mean difference, Bonferroni post-hoc multiple comparisons analysis was used to test for specific differences between two mean variables.
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The Student t-test was used to ascertain the significant difference between two means of a continuous variable.
The difference between two means for each of the 4 dependent variables is statistically insignificant at 5%% significance level and I fail to reject the hypothesis that poorest counties in the expansion states are different than the poorest counties in comparison states.
Differences between two means were assessed with the Student's t-test and associations between categorical variables were assessed with Pierson's chi2 or the Fisher exact test.
A direct dependency between two variables mean that the interaction between the two variables does not depend on any intermedium.
To determine the relationship between two quantitative variables, the mean comparison procedure was performed with the T-TEST GROUPS SPSS system, which calculates the value of Student's t test.
T test was used to compare means between two independent variables.
Remember, a correlation between two variables doesn't mean that one is responsible for the other.
Remember, a correlation between two variables doesn't mean that one is responsible for the other. .
Student t-test was used to compare means between two groups of variables whereas for more than two groups analysis of variance (ANOVA) was applied.
For the TOF + PSF RPs, no major differences were revealed from the standard, presenting both high ρ c values, which means a good correlation between two study variables.
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