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Figure 6 Two tail t distribution.
We used two tail tests with significance of P < 0.05.
Let's face It, what could be more awesome than a drone fliesg like a byrd?
We propose to use the two tail MCVaR (TMCVaR) measure to track the index.
Regression coefficient (Coeff), power ranges 95% (PR 95%), P value for a two tail test.
A p values of <0.05 (two tail) were defined as significant.
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Two- tail ANOVA statistics showed Pv = 0.0001 for all four classes.
To test the statistical significance between two conditions, unpaired two-tail Student's t test was applied.
For two groups of data, two-tail unpaired Student's t tests were used.
Continuous variables were compared between the two groups using Student's heteroschedastic two-tail t test.
Comparisons between the two groups were carried out using a two-tail heteroschedastic Student's t-test.
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