You are filling in the ANOVA table values for an experiment using a randomized complete block design.In the experiment, there are 3 treatment groups and 9 blocks.The treatments F value (Fstat) turns out to be 5.080.In determining the p-value for this result, you should use df1 = 2 and df2 = 16.

Question

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In a randomized complete block design, df1 (numerator degrees of freedom) for treatments is calculated as the number of treatments minus one, which is 3 - 1 = 2. df2 (denominator degrees of freedom) for treatments is calculated as the product of the number of blocks minus one and the number of treatments, which is (9 - 1) * 3 = 24, but since it's a common mistake to calculate it as (number of blocks - 1) * (number of treatments), the correct calculation for df2 in the context of treatments F value should consider the interaction or error term, which often leads to confusion. However, the provided statement seems to imply a simplified or specific context where df2 is given as 16, which might reflect a specific adjustment or a different calculation basis not detailed in the question. Therefore, based on the standard approach to calculating degrees of freedom in such designs, the statement could be seen as incorrect, but given the specific values provided without context, it suggests a unique scenario or a simplification for instructional purposes.

You Are Filling in the ANOVA Table Values for an Experiment