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The principle that "trade can make everyone better off" applies to interactions and trade between
P-value
The probability of obtaining test results at least as extreme as the results observed during the test, assuming that the null hypothesis is correct.
F Value
A statistic used in ANOVA tests, representing the ratio of variance between groups to variance within groups.
P-value
The likelihood of achieving a test statistic as extreme or more so than the observed one, under the assumption that the null hypothesis holds.
Degrees of Freedom
The number of independent values or quantities that can be assigned to a statistical distribution or to a system of equations, minus the number of equations constraining them, crucial in significance testing.
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