Yes it is a false positive reaction.
Urease production is indicated by a bright pink color on the slant indicating hydrolysis of urea which should occur in 24 hours of incubation, but as it take 48 hours to show pink colour indicating hydrolysis of proteins in the medium rather than urea hydrolysis.
Suppose you inoculate a PR broth with a slow-growing fermenter. After 48 hours, you see slight turbidity but score it as (-/-). Is this result a false positive or afalse negative? Is this a result of poor specificity or poor sensitivity of the test system?
suppose you inoculate a PR broth with a slow-growing fermenter. after 48 hours, you see slight turbidity but score it as negative. is this result a false positive or afalse negative? is this a result of poor specificity or poor sensitivity of the test system
3. Some users comment that setting up an IDS/IPS system is not an easy task. Why do you think it is the case? 4. If an IDS system produces a lot of false-positive alarms or a lot of false-negative alarms, what do you suppose it happens and how would you suggest to fix it? 5. Is it possible for an IDS system to produce a lot of false-positive and false-negative alarms in a short period of time and why?
Need details please. Thanks for helping me out !
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...
Suppose you take a test in which all the ten questions are true or false. Use a the random number generator in your calculator to randomly answer the question. A. Simulate the test using a random number generator and give all possible values for the random variable. B. Give the sequence of outcomes you use to answer the true false questions. C. How many true answers did you have? D. What ratio of true false you think you would have...
9. Suppose a certain type of cancer is diagnosed by first administering a test, looking at the test result and then making the diagnosis. If the test is positive, the patient is diagnosed as having the cancer. If the test is negative, the person is diagnosed as not having the cancer. Let event the person has the cancer and event P the test result is positive. Being diagnosed as having (not having) the cancer does not mean the person has...
1. (6 pts) These are some of the preliminary tests that you will be doing on days 1-2. For each test, write down what type of molecule would give a positive test and what a positive result would look like. DNP: Solubility Beilstein: Ignition: 2. (2 pts) For the 2,4-dinitrophenylhydrazine test, write a chemical reaction between that reagent and one of the "known" compounds that would give a positive result. 17
1. (6 pts) These are some of the preliminary...
ltis known that 3% ofthe Uk's population carry a certain disease. Atest forthe disease is available Leave 5 which always gives either a positive or a negative result. Given that the individual carries the disease, there is a 98% chance that the test will give a positive result. Given that the individual does not carry the disease, there is a 95% chance that the test will give a negative result. blank a) i) Joey takes the test and gets a...
Immunology
4. Describe one possible explanation for a false positive result in the wheat gluten test? 5. Explain how a pregnancy test works.Where is the antigen? Antibody? Enzyme? How is the test set up so that color only appears on the test line if the woman is pregnant?
hi, my answers seemed strange after using Bayes theorem, so I am
unsure if I made the right calculations. Please show your work so I
can catch my error :)
Extra Credit: ELISA tests are used to screen donated blood for the presence of the AIDS virus. The test actually detects antibodies, substances that the body produces when the virus is present. When antibodies are present, ELISA is positive with probability about 0.997 and negative with probability about 0.003. When...