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:
230 in.²
Step-by-step explanation:
20 · 10 = 200 in.²
5 · 6 = 30 in.²
200 in.² + 30 in.²
Answer:
Equation: 3y - 6 = y + 7
y = 6.5
Step-by-step explanation:
Step 1: Write out equation
3y - 6 = y + 7
Step 2: Solve for <em>y</em>
2y - 6 = 7
2y = 13
y = 13/2 or 6.5
Answer:
He paid 80 at the start, so his starting must have been 80
Step-by-step explanation:
80+40=120...
so either 0, or 80 because he owed nothing, or he owed the 80, then the 40 for medication
I hope this helps!
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