A researcher claims that the average body mass index (BMI) of adult Canadians is more than 25.0. He takes a SRS of 250 Canadians and finds x = 26.3. The p-value for this test is 0.001. What is the best interpretation of this value? a. This tells us that the probability of randomly selecting another sample of 250 Canadians with a sample mean BMI of 26.3 is 1 in 1000. b. This tells us that the probability of randomly selecting another sample of 250 Canadians with a sample mean BMI of 26.3 or larger is 1 in 1000. c. This tells us that if μ = 25.0, then the probability of randomly selecting another sample of 250 Canadians with a sample mean BMI of 26.3 is 1 in 1000. d. This tells us that if μ = 25.0, then the probability of randomly selecting another sample of 250 Canadians with a sample mean BMI of 26.3 or larger is 1 in 1000. e. This tells us that if μ > 25.0, then the probability of randomly selecting another sample of 250 Canadians with a sample mean BMI of 26.3 or larger is 1 in 1000.