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 81%, indicating they have diabetes. If the child does not have diabetes, the probability that the test will be positive is 10%. Suppose 5.9% 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:

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 81%, indicating they have diabetes. If the child does not have diabetes, the probability that the test will be positive is 10%. Suppose 5.9% of all children actually have diabetes. (Round your answer to 3 decimal places, if needed.)

(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:

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 85%, indicating they have diabetes. If the child does not have diabetes, the probability that the test will be positive is 11%. Suppose 6.0% of all children actually have diabetes. (Round your answer to 3 decimal places, if needed.)

(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:

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 81%, indicating they have diabetes. If the child does not have diabetes, the probability that the test will be positive is 12%. Suppose 5.0% of all children actually have diabetes. (Round your answer to 3 decimal places, if needed.)

(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:

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 85%, indicating they have diabetes. If the child does not have diabetes, the probability that the test will be positive is 10%. Suppose 5.6% 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:

Answer:

(e) What is the probability that a randomly chosen child tested negative?

Answer:

Answer:

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