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?
A medical test is not completely accurate. When people who have a certain disease are tested, 90% of them have a "positive" reaction. But 5% of people without the disease also have a "positive" reaction. In a certain city, 20% of the population have the disease. A person from this city is chosen at random and tested; if the reaction is "positive," what is the probability the person has the disease
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...
A genetic test is use to determine if people have a disposition for thrombosis, which is the formation of a blood clot inside a blood vessel that obstructs the flow of blood though the circulatory system. It is believed that 3% of people actually have this predisposition. The genetic test is 99% accurate if a person has the predisposition, meaning that the probability of a positive test result when a person actually has the predisposition is 0.99. The test is...
There are 550,000 people in the US infected with HIV. Of these people, 275,000 are drug users, and the rest are not drug users. The total population of the US is 250 million. There are 10 million drug users in the US. The standard blood test for HIV infection is not always accurate. The probability that someone who is infected with HIV will test positive for HIV is 0.99. The probability that someone who is not infected with HIV will...
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(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...
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!!
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...