The probability that a person has a certain disease is 0.02. Medical diagnostic tests are available to determine whether the person actually has the disease. If the disease is actually present, the probability that the medical diagnostic test will give a positive result (indicating that the disease is present) is 0.92. If the disease is not actually present, the probability of a positive test result (indicating that the disease is present) is 0.01. a. If the medical diagnostic test has given a positive result (indicating that the disease is present), what is the probability that the disease is actually present? b. If the medical diagnostic test has given a negative result (indicating that the disease is not present), what is the probability that the disease is not present?
The probability that a person has a certain disease is 0.02. Medical diagnostic tests are available...
The probability that a person has a certain disease is 0.05. Medical diagnostic tests are available to determine whether the person actually has the disease. If the disease is actually present, the probability that the medical diagnostic test will give a positive result (indicating that the disease is present) is 0.90. If the disease is not actually present, the probability of a positive test result (indicating that the disease If the medical diagnostic test has given a positive result (indicating...
The probability that a person has a certain disease is 0.05. Medical diagnostic tests are available to determine whether the person actually has the disease. If the disease is actually present, the probability that the medical diagnostic test will give a positive result (indicating that the disease is present) is 0.88. If the disease is not actually present, the probability of a positive test result (indicating that the disease is present) is 0.02. The probability is (Round to three decimal...
3 of 15 (13 completo) HW Score: 76.67%, 11.5 of 15 pts 4.3.32 Question Help The probability that a person has a certain disease is 0.02. Medical diagnostic tests are available to determine whether the person actually has the disease. If the disease is actually present, the probability that the medical diagnostic test will give a positive result (indicating that the disease is present) is 0.88. If the disease is not actually present, the probability of a positive test result...
A test has been developed to diagnose certain disease. The following information is available: 0.6 % of the population have the disease When a person has the disease, the probability that the test gives a (+) signal is 0.96 When a person does not have the disease, the probability that the test gives a (-) signal is 0.04 a) If your test result is (+), what is the probability that you actually have the disease? b) If your test result is...
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 probability that a disease- A diagnostic test for a certain disease is applied to individuals kronn to not have the disease. Let x = the number among then test results that are positive (indicating presence of the disease, so is the number of false positives) and free individual's test result is positive lep is the true proportion of test results from disease-free individuals that are positive). Assume that only X is available rather than the actual sequence of test...
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positive result give that a person 14.A diagnostic test has a probability of 0.90 of giving a suffering from a certain disease, and a probability of 0.15 of give a (false) positive give that the patient is a non-sufferer. It is estimated that 1% of the population are sufferers of this particular disease. Suppose that the test is now administered to a person about whom we have no relevant information relating...
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...
A medical test has been designed to detect the presence of a certain disease. Among people who have the disease, the probability that the disease will be detected by the test is 0.94. However, the probability that the test will erroneously indicate the presence of the disease in those who do not actually have it is 0.05. It is estimated that 6% of the population who take this test have the disease. (Round your answers to three decimal places.) (a)...
A test for a certain disease has the approximately probabilities of getting a positive or negative test result based on whether the person has or does not have the disease. Test Results Positive Negative Has the Disease 0.95 0.05 Does not have the disease 0.01 0.99 Based on previous records, the probability of a person having the disease is 0.04. If a person is chosen at random, what is the probability of getting a positive result?