Question

A test to determine whether a certain antibody is present is 99.5​% effective. This means that...

A test to determine whether a certain antibody is present is 99.5​% effective. This means that the test will accurately come back negative if the antibody is not present​ (in the test​ subject) 99.5​% of the time. The probability of a test coming back positive when the antibody is not present​ (a false​ positive) is 0.005. Suppose the test is given to seven randomly selected people who do not have the antibody.
​(a) What is the probability that the test comes back negative for all seven ​people? ​
(b) What is the probability that the test comes back positive for at least one of the seven ​people?

​(a) Upper P left (all 7 tests are negative right) = ​(Round to four decimal places as​ needed.)

Homework Answers

Answer #1

please like if it helps me..

Thank you...

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
A test to determine whether a certain antibody is present is 99.9?% effective. This means that...
A test to determine whether a certain antibody is present is 99.9?% effective. This means that the test will accurately come back negative if the antibody is not present? (in the test? subject) 99.9?% of the time. The probability of a test coming back positive when the antibody is not present? (a false? positive) is 0.001. Suppose the test is given to five randomly selected people who do not have the antibody. ?(a) What is the probability that the test...
A medical test is available to determine whether a patient has a certain disease. To determine...
A medical test is available to determine whether a patient has a certain disease. To determine the accuracy of the test, a total of 10,100 people are tested. Only 100 of these people have the disease, while the other 10,000 are disease free. Of the disease-free people, 9800 get a negative result, and 200 get a positive result. The 100 people with the disease all get positive results. Use this information as you answer the questions below. 1) Find the...
Elisa Test The standard test for the HIV virus is the Elisa test, which tests for...
Elisa Test The standard test for the HIV virus is the Elisa test, which tests for the presence of HIV antibodies. If an individual does not have the HIV virus, the test will come back negative for the presence of HIV antibodies 99.8% of the time and will come back positive for the presence of HIV antibodies 0.2% of the time (a false positive). If an in- dividual has the HIV virus, the test will come back positive 99.8% of...
Consider two medical tests, A and B for a virus. Test A is 90% effective at...
Consider two medical tests, A and B for a virus. Test A is 90% effective at recognizing the virus when it is present, but has a 5% false positive rate. Test B is 80% effective at recognizing the virus when it is present, but only has a 1% false positive rate. The two tests are independent (i.e., they use different means for identifying the virus). The virus is carried by 2% of all people. 1) If you could use only...
To determine whether or not they have a certain desease, 80 people are to have their...
To determine whether or not they have a certain desease, 80 people are to have their blood tested. However, rather than testing each individual separately, it has been decided first to group the people in groups of 16. The blood samples of the 16 people in each group will be pooled and analyzed together. If the test is negative, one test will suffice for the 16 people (we are assuming that the pooled test will be positive if and only...
To determine whether or not they have a certain disease, 160 people are to have their...
To determine whether or not they have a certain disease, 160 people are to have their blood tested. However, rather than testing each individual separately, it has been decided first to group the people in groups of 10. The blood samples of the 10 people in each group will be pooled and analyzed together. If the test is negative. one test will suffice for the 10 people (we are assuming that the pooled test will be positive if and only...
According to a 2018 article in Esquire magazine, approximately 70% of males over age 70 will...
According to a 2018 article in Esquire magazine, approximately 70% of males over age 70 will develop cancerous cells in their prostate. Prostate cancer is second only to skin cancer as the most common form of cancer for males in the United States. One of the most common tests for the detection of prostate cancer is the prostate-specific antigen (PSA) test. However, this test is known to have a high false-positive rate (tests that come back positive for cancer when...
Many people think that everyone should be tested for the virus. However, it is generally a...
Many people think that everyone should be tested for the virus. However, it is generally a bad idea to do mass screening of an entire population, due to the risk of false positives. The most important example of this is that many women are no longer recommended to have annual mammograms to detect breast cancer. A mammogram has a false positive rate of about 9 percent. This means that assuming a woman is healthy, a mammogram will still come back...
A certain virus infects one in every 200200 people. A test used to detect the virus...
A certain virus infects one in every 200200 people. A test used to detect the virus in a person is positive 9090​% of the time when the person has the virus and 1010​% of the time when the person does not have the virus.​ (This 1010​% result is called a false positive​.) Let A be the event​ "the person is​ infected" and B be the event​ "the person tests​ positive." ​(a) Using​ Bayes' Theorem, when a person tests​ positive, determine...
A certain virus infects one in every 200 people. A test used to detect the virus...
A certain virus infects one in every 200 people. A test used to detect the virus in a person is positive 80​% of the time when the person has the virus and 15​% of the time when the person does not have the virus.​ (This 15​% result is called a false positive​.) Let A be the event​ "the person is​ infected" and B be the event​ "the person tests​ positive." ​(a) Using​ Bayes' Theorem, when a person tests​ positive, determine...