Question

In: Statistics and Probability

A blood test indicates the presence of a particular disease 96​% of the time when the...

A blood test indicates the presence of a particular disease 96​% of the time when the disease is actually present. The same test indicates the presence of the disease 0.8​% of the time when the disease is not present. Two percent of the population actually has the disease. Calculate the probability that a person has the​ disease, given that the test indicates the presence of the disease.

Solutions

Expert Solution

P(actually has the disease) = 0.02

P(test indicates the presence of the disease | actually has the disease) = 0.96

P(test indicates the presence of the disease | the disease is not present) = 0.008

P(test indicates the presence of the disease) = P(test indicates the presence of the disease | actually has the disease) * P(actually has the disease) + P(test indicates the presence of the disease | the disease is not present) * P(the disease is not present)

                = 0.96 * 0.02 + 0.008 * (1 - 0.02)

                = 0.02704

P(person has the​ disease | the test indicates the presence of the disease) = P(test indicates the presence of the disease | actually has the disease) * P(actually has the disease) / P(test indicates the presence of the disease)

              = 0.96 * 0.02 / 0.02704

              = 0.71


Related Solutions

We are only given the accuracy of the blood test and prevalence of the disease in...
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 has a false positive rate of 12 percent. Use your knowledge of...
A new medical test has been designed to detect the presence of the mysterious Brainlesserian disease....
A new medical test has been designed to detect the presence of the mysterious Brainlesserian disease. Among those who have the disease, the probability that the disease will be detected by the new test is 0.78. However, the probability that the test will erroneously indicate the presence of the disease in those who do not actually have it is 0.02. It is estimated that 19 % of the population who take this test have the disease. If the test administered...
A medical test has been designed to detect the presence of a certain disease. Among people...
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 0.93. However, the probability that the test will erroneously indicate the presence of the disease in those who do not actually have it is 0.03. It is estimated that 3% of the population who take this test have the disease. (Round your answers to three decimal places.) (a)...
The mean survival time for patients with a particular form of disease is 4 years. A...
The mean survival time for patients with a particular form of disease is 4 years. A new treatment is tried on 20 patients with this particular disease and their average survival time is 4.7 years with a standard deviation of 1.5 years. (a) State the direction of the alternative hypothesis to test if the new treatment constitutes a significant improvement in survival time. Type gt (greater than), ge (greater than or equal to), lt (less than), le (less than or...
Test whether the sample evidence indicates that the average time an employee stays with a company...
Test whether the sample evidence indicates that the average time an employee stays with a company in their current positions is less than 3 years when a random sample of 64 employees yielded a mean of 2.765 years and s = 0.8. Use a = 0.01. Assume normal distribution.
Describe the pattern in a line graph that indicates the presence of an interaction effect in...
Describe the pattern in a line graph that indicates the presence of an interaction effect in a factorial design.
A ______________________ is a “lawn” of plated bacteria indicates the presence and activity of wild-type bacteriophage...
A ______________________ is a “lawn” of plated bacteria indicates the presence and activity of wild-type bacteriophage that have undergone recombination. ANSWERS: plaque lysogenic colony lytic phage a lytic colony none of these choices are correct
1. The presence of protein in the urine indicates which of the following? Select one: A....
1. The presence of protein in the urine indicates which of the following? Select one: A. damage to the renal tubules B. damage to the filtration membrane C. too much protein in the diet D. high levels of transcription and translation by the bodies tissues Question 2 Adipose tissue is one of the most hydrated of all tissues in the human body. Select one: True False Question 3 The path urine takes after it is formed until it leaves the...
G-Test of Independence In a study of the relation between blood type and disease, large samples...
G-Test of Independence In a study of the relation between blood type and disease, large samples of patients with peptic ulcers, patients with gastric cancer, and control persons (free from any of these diseases) were classified as to blood type (O, A, B, AB). In this problem, the relatively small numbers of AB patients were omitted for simplicity. The observed numbers are as follows: Blood Type           Peptic Ulcer                           Gastric Cancer                     Controls O                             983                                         383                                         2892 A                             679                                         416                                         2625 B                            ...
Consider measuring the time until death after diagnosis of a particular disease, and suppose that we...
Consider measuring the time until death after diagnosis of a particular disease, and suppose that we have complete follow up, so that all death times are observed. We will assume the following to be known values for the population. We know that the mean time until death after diagnosis is 6.5 years. We also know that the standard deviation of time until death is 4.1 years. Further, we know that the distribution of time until death is very strongly skewed...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT