statistics

A. The NIH is creating a test for the Flu virus. The incidence of a Flu is low, 8 percent in the general population. There is a trial version, but it sometimes misses the disease. The probability of a false negative is 13 percent. Similarly, someone who does not have the Flu, will sometimes get a positive reading. The probability of this is 30 percent. Fill in the tree diagram and ... Answer in percent to 2 decimal places. Marginal Conditional Probabilities Probabilities Joint Probabilities P(positive | D) P(D and positive) False negative P(D) P(negative | D) P(D and negative) False Positive P(no D) P(positive | no D) P(no D and positive) P(negative | no D) P(no D and negative) Calculate the probability that a positive test result means someone has the Flu. B. The NIH is creating a test for the Zika virus. The incidence of a Zika is low, 5 percent in the general population. There is a trial version, but it sometimes misses the disease. The probability of a false negative is 13 percent. Similarly, someone who does not have Zika, will sometimes get a positive reading. The probability of this is 20 percent. Fill in the tree diagram and ... Answer in percent to 2 decimal places. Marginal Conditional Probabilities Probabilities Joint Probabilities P(positive | D) P(D and positive) False negative P(D) P(negative | D) P(D and negative) False Positive P(no D) P(positive | no D) P(no D and positive) P(negative | no D) P(no D and negative) Calculate the probability that a positive test result means someone has Zika