Question

The accompanying table shows the results from a test for a certain disease. Find the probability of selecting a subject with a
negative test result, given that the subject has the disease. What would be an unfavorable consequence of this error?
The individual actually
had the disease
Yes
No
Positive 310
3
Negative 17 1133
The probability is
(Round to three decimal places as needed.

Answer 1

Using the concept of probability, it is found that there is a 0.052 = 5.2% probability of a negative test result, given that the subject has the disease, and one unfavorable consequence of this error is the higher spread of the disease

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• A probability is the number of desired outcomes divided by the number of total outcomes.

In this question:

• 310 + 17 = 327 people had the disease.
• Of those, 17 had negative tests.

Then:

$p = \frac{17}{327} = 0.052$

0.052 = 5.2% probability of a negative test result, given that the subject has the disease.

One unfavorable consequence of this error is the higher spread of the disease, considering a highly contagious disease. For example, with a positive test, the subject could be isolated from the rest of the population, reducing the spread, but with a false negative test, the subject is around other elements, thus spreading the disease.

A similar problem is given at https://brainly.com/question/24161830