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
The answer is the distributive property because it states that if you have a number multiplied by a quantity, you can just multiply that number by each of the terms in the quantity. For example, a(x+y)=ax+ay.
Hope this helps!
Answer: g = -2
x = 5
Step-by-step explanation:
2.50$ is the better deal. If you times 0.70$ to 5 it is 3.5$ which is more expensive
4 is the most
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