Question

Prevalence is 37% . If 100 children present with a sore throat, abut 37 will have...

Prevalence is 37% . If 100 children present with a sore throat, abut 37 will have strep.  

Sensitivity is 95%. If 100 children with strep take the test, about 95 would get a positive result.  

Specify is 98%. If 100 children without strep take the test about 98 would get a negative result.

PART C  

Prevalence 37%                                      sensitivity 95%                                             specify 98%  

Test Positive

352

13

365

Test Negative  

18

617

635

Total  

370

630

1000

a) How many have strep?
b) Of those with strep, how many are correctly identified?
c) How many have strep, but are missed in testing?
d) How many do NOT have strep?
e) Of those WITHOUT strep, how many are correctly identified?
f) Now find the number of False Positives.
g) How many TESTED positive?
h) How many TESTED negative?

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

a) How many have strep?

= 370

b)Of those with strep, how many are correctly identified?

tested positive and have strep = 352

c) How many have strep, but are missed in testing?

tested negative and have strep = 18

d) How many do NOT have strep?

=630

e) Of those WITHOUT strep, how many are correctly identified?

tested negative and have no strep= 617

f) Now find the number of False Positives.
tested positive and have no strep= 13

g) How many TESTED positive?
=365

h) How many TESTED negative?

=635

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
At present, the infection rate of COVID-19 in New York City is about 2.5%. A widely...
At present, the infection rate of COVID-19 in New York City is about 2.5%. A widely used nucleic acid based test has sensitivity of 93.8% and specificity 95.6%. Here, to quote Wikipedia: “sensitivity (also called the true positive rate, the recall, or probability of detection in some fields) measures the proportion of actual positives that are correctly identified as such; specificity (also called the true negative rate) measures the proportion of actual negatives that are correctly identified as such.” If...
I'm not sure how to do this, I got it wrong. For disease Y, there’s a...
I'm not sure how to do this, I got it wrong. For disease Y, there’s a new rapid and accurate test in the market. The sensitivity of the test is 90% (probability to correctly detect disease Y with positive test result), and the specificity of the test is 99% (probability to correctly give negative result for disease Y free case). The prevalence of the disease is 1% in the population. Write in as percentage without percentage sign and with three...
Consider a particular genetic disease affects 3% of adults in the U.S. population. Fortunately, there is...
Consider a particular genetic disease affects 3% of adults in the U.S. population. Fortunately, there is a genetic test for the gene that causes the disease. The test is 98% accurate; that is, 98% of the people who take the test get the correct result (and 2% of people tested get the wrong result). In Springfield, there are 100,000 adults, and they all get tested for the disease. How many of the residents of Springfield are likely to have the...
According to Bendavid et al. (2020), 2.8% of residents in the Santa Clara County, California have...
According to Bendavid et al. (2020), 2.8% of residents in the Santa Clara County, California have antibodies to SARS-CoV-2. BioMedomics Covid-19 IgM/IgG Rapid Test has 88.7% sensitivity and 90.6% specificity. If a resident of Santa Clara County tested positive for the SARS-CoV-2 antibody from that test, what is the probability that the person actually has the antibody? Clearly define the events of interest using the context of the problem to receive full credit. Hint: (1) Sensitivity measures how often a...
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...
Suppose that a screening test for breast cancer has 95% sensitivity and 90% specificity. Assume 1%...
Suppose that a screening test for breast cancer has 95% sensitivity and 90% specificity. Assume 1% of the population being screened truly has breast cancer. a. If you really do have breast cancer, what is the probability that the test says you do? b. If you really do not have breast cancer, what is the probability that the test says you do? c. The screening test is applied to a total of 15 people; 5 who really do have cancer...
2. Suppose next that we have even less knowledge of our patient, and we are only...
2. Suppose next that we have even less knowledge of our patient, and 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 95 percent reliable, this means that the test will yield an accurate positive result in 95% of the cases where the disease is actually present. Gestational diabetes affects 6% of the population in our patient’s age group, and that our test...
Community health workers were conducting a screening test for diabetes. People who tested positive on the...
Community health workers were conducting a screening test for diabetes. People who tested positive on the screening test were referred for follow-up testing to confirm if they had diabetes. There were 300 people who tested positive during the screening in the community. Thirty of these people were later found to not have diabetes. There were 500 people who tested negative during the screening in the community. The community health workers later found out that 20 of the people who tested...
A 2011 article in the British Medical Journal attempts to elucdiate Bayes' Rule for the medical...
A 2011 article in the British Medical Journal attempts to elucdiate Bayes' Rule for the medical profession. It's well worth reading and has some illuminating graphics. In this exercise you will confirm a result stated in the article. Useful terminology: The sensitivity of a test for a medical condition is the proportion of correctly diagnosed patients among those who have the condition. The specificity of the test is the proportion of correctly diagnosed patients among those who do not have...
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....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT