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 318 7 Negative 10 1151 The probability is enter your response here. (Round to three decimal places as needed.) What would be an unfavorable consequence of this error? A. The subject would not receive treatment and could spread the disease. B. The subject would experience needle
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 318 7 Negative 10 1151 The probability is enter your response here. (Round to three decimal places as needed.) What would be an unfavorable consequence of this error? A. The subject would not receive treatment and could spread the disease. B. The subject would experience needle
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
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
|
318
|
7
|
|
|
Negative
|
10
|
1151
|
|
The probability is
enter your response here.
(Round to three decimal places as needed.)
What would be an unfavorable consequence of this error?
The subject would not receive treatment and could spread the disease.
The subject would experience needless stress and additional testing.
The test would be shown to be not effective.
The test would be shown to be not reliable.
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