Answer:
The linear model of her monthly earnings is; Y =1200 +0.03*X. The amount earned is 1350; choice A
Step-by-step explanation:
Let Y denote her monthly earnings and X her total sales. The linear model can thus be formulated as; Y =1200 +0.03*X. We are then to find the value of Y given X =5000. We simply substitute X =5000 into the linear model which yields; Y =1350
20 is 85% of the number 23.5294
Answer:
C (-3/4)
Step-by-step explanation:
Decimal form is - 0.75
Hello There!
Write out your equation:
Substitute the values in:
Simplify:
Solve:
It is 6.25.
Therefore, your answer is
6 1/4.
Hope This Helps You!Good Luck :)
- Hannah ❤
Based on the accuracy of the test and the probability of Kevin having the disease, the following are true:
- Probability that Kevin has diabetes and the test predicts this = 0.6375.
- Probability that Kevin has diabetes and the test doesn't predicts this = 0.1125.
- Probability that Kevin doesn't have diabetes and the test predicts this = 0.2125.
- Probability that Kevin doesn't have diabetes and the test doesn't predicts this = 0.0375.
<h3>Probability that Kevin has diabetes and the test predicts this</h3>
= Probability that Kevin has diabetes x Accuracy of test
= 0.75 x 0.85
= 0.6375
<h3>Probability that Kevin has diabetes and the test doesn't predicts this</h3>
= Probability that Kevin has diabetes x (1 - Accuracy of test )
= 0.75 x ( 1 - 0.85)
= 0.1125
<h3>Probability that Kevin doesn't have diabetes and the test predicts this</h3>
= Probability that Kevin doesn't have diabetes x Accuracy of test
= ( 1 - 0.75) x 0.85
= 0.2125
<h3>Probability that Kevin doesn't have diabetes and the test doesn't predicts this</h3>
= Probability that Kevin doesn't have diabetes x (1 - Accuracy of test )
= ( 1 - 0.75) x (1 - 0.85)
= 0.0375
In conclusion, the probability depends on the accuracy of the test and the probability of having diabetes.
Find out more on probability at brainly.com/question/6354635.