In an experiment using a randomized complete block design, if the p-value for F_stat is less than the significance level of the test, we can conclude that one of more of the treatment means is different from the others.

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In a randomized complete block design, if the p-value for the treatment effect (F_stat represents a statistical notation related to treatment effects) is less than the significance level, it indicates that there is a statistically significant difference between at least two of the treatment means. This suggests that not all treatment means are equal.

In an Experiment Using a Randomized Complete Block Design, If