A drug test is accurate 98% of the time. If the test is given to 2400 people who have not taken drugs, what is the probability that at least 50 will test positive?
A drug test is accurate 98% of the time. If the test is given to 2400 people who have not taken drugs, what is the proba...
A drug test is accurate 97% of the time. If the test is given to 2300 people who have not taken drugs, what is the probability that at least 71 will test positive?
An athletic league does drug testing of its athletes, 10 percent of who use drugs. This test, however, is only 95% reliable. That is, a drug user will test positive with probability .95 and negative with probability .05, and a nonuser will test negative with probability 0.95 and positive with probability .05. Develop a probability tree diagram to determine the posterior probability of each of the following outcomes of testing an athlete. (a) The athlete is a drug user, given...
An athletic league does drug testing of its athletes, 10 percent of who use drugs. This test, however, is only 95% reliable. That is, a drug user will test positive with probability .95 and negative with probability .05, and a nonuser will test negative with probability 0.95 and positive with probability .05. Develop a probability tree diagram to determine the posterior probability of each of the following outcomes of testing an athlete. (a) The athlete is a drug user, given...
Help please (12 points) A genetic test is used to determine if people have a pred formation of a blood clot inside a blood vessel that obstructs the flow of system. It is believed tha person actualy has the predisposition actually has the predisposition iso 99. Thetest is 98%accurate if a person doesn hich is the predisposition for thrombosis, w of blood through the circulatory urate ta predisposition. The genetic test is 99%acc , meaning that the probability of a...
The proportion of people in a given community who have a certain disease is 0.005. A test is available to diagnose the disease. If a person has the disease, the probability that the test will produce a positive signal is 0.99. If a person does not have the disease, the probability that the test will produce a positive signal is 0.01 a. If a person tests positive, what is the probability that the person has the disease? b. If a...
The proportion of people in a given community who have a certain disease is 0.005. A test is available to diagnose the disease. If a person has the disease, the probability that the test will produce a positive signal is 0.96. If a person does not have the disease, the probability that the test will produce a positive signal is 0.04. 1. If a man tests negative, what is the probability that he actually has the disease? 2. For many...
Of the 98 participants in a drug trial who were given a new experimental treatment for arthritis, 56 showed improvement. Of the 92 participants who were given a placebo, 49 showed improvement. Construct a two way table for this data and then use a 0.05 significance level to test the claim that improvement is independent of weather the participant was given the drug or a placebo. I'm stuck!!! Thanks!!
Recently, a drug company developed a new test for the flu. The table below shows the results of the test compared to whether or not they actually had the flu. Had the Flu Didn't Have the Flu Tested Positive Tested Negative 392 8 9980 189620 Use this table to answer the following questions. Round all probabilities to at least 4 decimal places (if necessary). 1) How many people were tested? 2) What is the probability that one selected person had...
Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 98 percent reliable, this means that the test will yield an accurate positive result in 98% of the cases where the disease is actually present. Gestational diabetes affects 9 percent of the population in our patient’s age group, and that our test...
eople who use drugs vs. drug users. People with disabilities vs. the disabled. These are examples of what kind of language? Why is it important to use this type of language when describing members of a particular group?