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In Problem 15 we collected a balanced RSS of 96 subjects from the NHANES III population using a set size of k = 8 and arm circumference as the auxiliary variable to perform the judgment rankings with the goal of making inferences about the BMI for the population. Since this auxiliary variable does not provide perfect rankings for the BMI values, there will be ranking errors within the sets. Let
for i = 1, ... , 8 and j = 1, ... , 8. Thus, pij, i ≠ j, is the probability that the ranking process in a given set incorrectly assigns the jth judgment rank to the BMI value that is actually the ith ordered BMI value in the set and pii, i = 1, ... , 8, is the probability that the ranking process correctly identifies the ith ordered BMI value in a set of size 8. Use the known BMI values for all 768 subjects involved in the ranking process leading to this RSS of size 96 to obtain sample estimates of the 64 probabilities pij , i = 1, ... , 8 and j = 1, ... , 8. Compare the imperfect ranking information obtained in this problem with that obtained in Problem 44 for set size k = 6.
suppose that someone has hired you to determine whether they should refinance their home. this customer has a 375200
In regards to the statistics paper you helped me with. Can you do a conclusion of the findings. I can edit it to my communication style, but I do need to do the following:
in a certain population 1 of the individuals are infected with a certain virus. a test is applied to the whole
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An economist is interested in studying the spending habits of consumers in a particular region. The population variance is known to be $1,000,000. A random sample of 50 individuals resulted in an average expense of $15,000. What is the width of th..
If the airlines' goal was to attain the same proportion of on-time arrivals as in 2004, do the preliminary results indicate that they have met this goal? Support your assertions.
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QUESTIONS #36 THROUGH #40 REFER TO THE FOLLOWING:A professor wants to analyze the number of hours students spent online during the weekend and their scores on a test the following Monday. Part of the regression output appears below.
Assume that a procedure yields a binomial distribution with a trial repeated n times. Use the binomial probability formula to find the probability of x successes given the probability p of success on a single trial.
are men or women more adept at remembering where they leave misplaced items like car keys? according to university of
Difference in the mean prices between the three stores? What is the p-value? Explain why an ANOVA was used to analyze this problem.
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