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Physicians have been approached by a market research firm that offers to perform a study for $5000. Their experience enables them to use Bayes' theorem to make the following statements of probability:
probability of a favorable market given a favorable study = 0.82probability of an unfavorable market given a favorable study = 0.18probability of a favorable market given an unfavorable study = 0.11probability of an unfavorable market given a unfavorable study = 0.89probability of a favorable research study = 0.55probability of a favorable research study = 0.45
a) Develop a new decision tree to reflect the options now open to the market study (the previous decision tree had the following information: $100,000 profit for favorable market, $40,000 loss for unfavorable market, or do nothing with zero cost-- 50-50 chance of success.)
b) Use the EMV approach to recommend a strategy.
c) What's the expected value of sample information? How much might the physicians be willing to pay for a market study?
At α = 0.01, is the degree of certainty independent of credits earned?
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Illustrate what does weighting add to usefulness of moving averages and explain how is it done. The yield on a thirty year treasury note at the end of every year since 1990 is recorded below.
Marentette and El-Masri (2011) used logistic regression to identify predictors of obtaining seasonal influenza vaccination among hospital-based nurses in Canada. Their results are shown in table 1:
Suppose the random variable x is best described by a normal distribution with µ = 24 and σ = 2.7. Find the z-score that corresponds to each of the following x values.
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Question: If the regression line is drawn as Y = C + 1075x, when X was 2 and y was 239, given that the intercept was 11. Calculate the residual
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