In a Friedman test for comparing three populations, provided that there are five blocks, the test statistic is calculated as = 6.594. Then, the most accurate statement that can be made about the p-value is that:

A) p-value < 0.01
B) .05 < p-value < .10
C) .025 < p-value < .05
D) p-value > .10
E) 0.01< p-value < 0.025

Friedman Test

This non-parametric approach is utilized to identify distinctions in treatments throughout multiple testing sessions.

Test Statistic

A value calculated from sample data during a hypothesis test, used to decide whether to support or reject the null hypothesis.

P-value

A statistical measure that helps determine the significance of results obtained in hypothesis testing, indicating the probability of observing the obtained results if the null hypothesis were true.