The predictive value of a positive test is is 0.43.
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This question is solved using the concepts of sensitivity and specificity.
- Sensitivity: It is the true negative rate, that is, the proportion of people without the disease that test negative.
- Specificity: It is the true positive rate, that is, the proportion of people with the disease that test positive.
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- Sensitivity of 60% means that of the 100 - 10 = 90% of people without the disease, 60% test negative and 100 - 60 = 40% test positive.
- Specificity of 70% means that of the 10% with the disease, 70% test positive.
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The predictive value of a positive test is:
Probability of a positive test, which is 40% of 90% plus 70% of 10%, so:

The predictive value of a positive test is is 0.43.
A similar question is given at brainly.com/question/22373775
Answer:
pay rate £7.80
Step-by-step explanation:
28860 divide by 37 = 780
780 divided by 100 = 7.80
Area of a rectangle is the product of length times width. Thus, here we need the product of 8 1/2 inches by 11 inches.
One way of doing this follows: 8.5
8.5
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93.5 square inches
Rounding up, this comes out to 94 square inches.
Alternatively: 17 187
---- * 11 = ------- = 93.5 square inches; rounded, that's 94.
2 2
Answer is C.
All real numbers
hope it helps
Answer:
- 2
Step-by-step explanation:
The question is - 5 + - 4 + 7
You do addition first.
-4 + 7 = 3
So now we have - 5 + 3
-5 + 3 = - 2