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 square root of integers where one can get the number 2.71 will be between 7 and 8.
The square root of integers where one can get the π will be between 9 and 10
<h3>How to illustrate the value?</h3>
It should be noted that the <em>square</em> of a number simply means multiplying the number by itself.
Therefore, the.square root of integers where one can get the number 2.71 will be between 7 and 8.
Also, the square root of integers where one can get the π will be between 9 and 10
Learn more about computations on:
brainly.com/question/4658834
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Answer:
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Step-by-step explanation:
Answer:
Step-by-step explanation:
four twelfths minus two twelfths equals two twelfths
Answer:
The answer to your question is x = 6 and y = 9
Step-by-step explanation:
Data
AB = x DF = 18
BC = 5 FE = 15
AC = 3 DE = y
Process
1.- Find y
Use proportions to find it
DE/FE = AC/BC
Substitution
y/15 = 3/5
Solve for y
y = 15(3/5)
y = 45/5
y = 9
2.- Find x
AB/DF = BC/FE
Substitution
x/18 = 5/15
Solve for x
x = 18(5/15)
x = 90/15
x = 6
