Question

The prevalence of a disease D among the population is 3%. There is a diagnostic test...

The prevalence of a disease D among the population is 3%. There is a diagnostic test for disease D. The sensitivity of this test is 99%, this means that the test is positive given that the person has the disease. The specificity of this test is 98%, this means that the test is negative given that the person does not have the disease.

a) Given that a person tests positive, what is the probability that the person does not have the disease?

b) We randomly select 5 people and test them. All of them test negative, what is the probability at least one of them has the disease despite testing negative?

Homework Answers

Answer #1

Let P=event that test is positive, D=event that person has disease. Then accoding to the problem,

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The sensitivity and specificity of a diagnostic test in health care are defined as: • Sensitivity...
The sensitivity and specificity of a diagnostic test in health care are defined as: • Sensitivity = probability that the diagnostic test result is positive IF the patient has the disease; • Specificity = probability that the diagnostic test result is negative IF the patient does not have the disease. Suppose that two tests for the disease TB are applied as follows. Test A is applied to the full population, and anyone found positive according to test A is treated....
3. A diagnostic test has 95% sensitivity (the probability a person with the condition tests positive...
3. A diagnostic test has 95% sensitivity (the probability a person with the condition tests positive = 0.95) and 95% specificity (the probability a person without the condition tests negative = 0.95). In a population of people given the test, 1% of the people have the condition (probability a person has the condition = 0.01). (a) What proportion of the people will test positive? (b) Given a person has tested positive, what is the probability he/she has the condition?
5. In medical tests the prevalence of a disease in a given population is the percentage...
5. In medical tests the prevalence of a disease in a given population is the percentage of the population that has the disease. For a population with a known prevalence, the positive predictive value (PPV) of a test is the probability that a person in the population that tests positive actually has the disease. The negative predictive value (NPV) of a test is the probability that a person in the population who tests negative, in fact, does not have the...
Suppose 1 in 25 adults is afflicted with a disease for which a new diagnostic test...
Suppose 1 in 25 adults is afflicted with a disease for which a new diagnostic test has been developed. Given that an individual actually has the disease, a positive test result will occur with probability .99. Given that an individual does not have the disease, a negative test result will occur with probability .98. Use a probability tree to answer the following questions. Question 1. What is the probability of a positive test rest result? Question 2. If a randomly...
Using the following 2x2 table calculate the prevalence of the disease , sensitivity of the test,...
Using the following 2x2 table calculate the prevalence of the disease , sensitivity of the test, specificity of the test , predictive value of a positive test Disease Present Absent Test Result Positive 34 20 Negative 116 9830 Prevalence Sensitivity Specificity Predictivity value of a positive test A. 99.7% B. 31% C. 63% D. 1.5% E. 59% F. 22.6% G. 25%
For disease X, there’s a new rapid and accurate test in the market. The sensitivity of...
For disease X, there’s a new rapid and accurate test in the market. The sensitivity of the test is 90% (probability to correctly detect disease X with positive test result), and the specificity of the test is 99% (probability to correctly give negative result for disease X free case). The prevalence of the disease is 0.01% in the population. Write in as percentage without percentage sign and with three decimal places. What is Pr[ X | positive ]? (i.e. probability...
Sensitivity and specificity essential characteristics of medical tests. Sensitivity is the probability that the test will...
Sensitivity and specificity essential characteristics of medical tests. Sensitivity is the probability that the test will indicate “disease” given that the individual actually has the disease, and specificity is the probability that the test will indicate “no disease” given that the individual does not have the disease. Answer the following questions for a test with sensitivity 75% and specificity 99%. Let p denote the prevalence of the disease (i.e., proportion of the population with the disease). (a) For p =...
We have the following statements: 1 percent of the population is infected by a disease. We...
We have the following statements: 1 percent of the population is infected by a disease. We have a test, a, that has a sensitivity of 90% and a specificity of 95%. Sensitivity means that a person will test positive IF they are in fact infected. Specificity means that a person will test negative IF they are in fact not infected. The question is: What is the probability that a random tested person gets a positiv result? And what is the...
The probability that a person has a certain disease is 0.03 Medical diagnostic tests are available...
The probability that a person has a certain disease is 0.03 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 0.02 a. If the medical diagnostic test has...
A diagnostic test for disease X correctly identifies the disease 94% of the time. False positives...
A diagnostic test for disease X correctly identifies the disease 94% of the time. False positives occur 14%. It is estimated that 0.95% of the population suffers from disease X. Suppose the test is applied to a random individual from the population. Compute the following probabilities. (It may help to draw a probability tree.) The percentage chance that the test will be positive = % The probability that, given a positive result, the person has disease X = % The...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT