Suppose a lab is developing a robust new test to look for diabetes in children. If a child actually has diabetes, the probability that the test will be positive is 84%, indicating they have diabetes. If the child does not have diabetes, the probability that the test will be positive is 12%. Suppose 5.7% of all children actually have diabetes. (Round your answer to 3 decimal places, if needed.) a) What is the probability that a randomly chosen child has diabetes and tested positive? Answer: b) What is the probability that a randomly chosen child tested positive? Answer: c) Given that a test comes up positive, what is the probability the child has diabetes? Answer: d) What is the probability that a randomly chosen child does not have diabetes and tested negative? Answer: e) What is the probability that a randomly chosen child tested negative? Answer: f) Given that a test comes up negative, what is the probability the child does not have diabetes? Answer:

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Suppose a lab is developing a robust new test to look for diabetes in children. If a child actually has
diabetes, the probability that the test will be positive is 84%, indicating they have diabetes. If the
child does not have diabetes, the probability that the test will be positive is 12%. Suppose 5.7% of all
children actually have diabetes. (Round your answer to 3 decimal places, if needed.)
a) What is the probability that a randomly chosen child has diabetes and tested positive?
Answer:
b) What is the probability that a randomly chosen child tested positive?
Answer:
c) Given that a test comes up positive, what is the probability the child has diabetes?
Answer:
d) What is the probability that a randomly chosen child does not have diabetes and tested negative?
Answer:
e) What is the probability that a randomly chosen child tested negative?
Answer:
f) Given that a test comes up negative, what is the probability the child does not have diabetes?
Answer:
Transcribed Image Text:Suppose a lab is developing a robust new test to look for diabetes in children. If a child actually has diabetes, the probability that the test will be positive is 84%, indicating they have diabetes. If the child does not have diabetes, the probability that the test will be positive is 12%. Suppose 5.7% of all children actually have diabetes. (Round your answer to 3 decimal places, if needed.) a) What is the probability that a randomly chosen child has diabetes and tested positive? Answer: b) What is the probability that a randomly chosen child tested positive? Answer: c) Given that a test comes up positive, what is the probability the child has diabetes? Answer: d) What is the probability that a randomly chosen child does not have diabetes and tested negative? Answer: e) What is the probability that a randomly chosen child tested negative? Answer: f) Given that a test comes up negative, what is the probability the child does not have diabetes? Answer:
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