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A randomized block analysis was performed to examine whether the color of an energy drink (e.g., red, green, blue, purple) has an effect on the sales of the energy drink. Because the type of store (e.g., convenience, grocery, and discount) where the drink is sold could have an effect on sales the analyst decided to control for store differences by blocking on stores. Three blocks were used in the analysis. The results of the hypothesis tests for whether blocking is effective or not resulted in an F calculated of 1.76 which had a p-value of 0.206. If the analyst wants to control for the probability of a Type 1 Error to be no more than 0.05 (α=0.05), then the analyst would
a. Reject the null hypothesis and conclude that there is a store effect (blocking was effective)
b. Not reject the null hypothesis and conclude that there is no store effect (blocking was not effective)
c. Reject the null hypothesis and conclude that there is no effect due to stores (blocking was not necessary)
d. Not reject the null hypothesis and conclude that there is a store effect (blocking was necessary)
how it can be used in a research. please help understand it very well by either explaining or showing an example of how the approach works
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