Answer:
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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
You have ridden 55% of the way.
You have to set up a proportion 44 over 80 is equal to x over 100 (x is what we are trying to find - the percentage you have ridden). Then use cross products and multiply the 44 by 100 to get 4400 and divide that by 80 to get 55. So the answer is 55 so 55%.
55%.
Hope this helps!
Can u plz mark me as brainliest? I really need it!
B) Parallelogram JKLM is translated and then dilated
as well as c
C) Parallelogram JKLM is dilated and translated
C is the best answer because is size is changing. In all the others nothing is changing except the position which remains congruent and similar but C does not . The sizes changes which makes them not congruent but still similar.
Answer: hehe, I don’t understand spAnIsh
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