What is the probability that a woman delivers pre-term?
Unit III Assessment
11 OF 11 QUESTIONS REMAINING
Test Content
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Question 1 4 Points
What is the probability that a woman delivers pre-term?
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https://alt-5f85d6ea5857f.blackboard.com/bbcswebdav/pid-16524123-dt-asiobject-rid-45570590_1/xid-45570590_1
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https://www.columbiasouthern.edu/downloads/pdf/handbook/csustudenthandbook.aspx
Question 2 4 Points
What is the probability that a woman has BMI less than 30?
Question 3 4 Points
What is the probability that a woman has a BMI less than 30 and delivers pre-term?
Question 4 4 Points
What proportion of women with a BMI greater than 35 delivers full-term?
Question 5 6 Points
What is the sensitivity of the new rapid test for HIV? Interpret your results.
Question 6 6 Points
What is the specificity of the new rapid test for HIV? Interpret your results.
Question 7 6 Points
What is the positive predictive value (PPV) for the new rapid test for HIV in this cohort? Interpret your results.
Question 8 6 Points
What is the negative predictive value (NPV) for the new rapid test for HIV in this cohort? Interpret your results.
Question 9 20 Points
Explain in your own words the difference between a random experiment and a trial. Illustrate each by giving a real- world example of how each has been applied in a public health setting in the last decade. Be sure to include the specifics that make each distinct. Your response must be at least 200 words in length.
Question 10 20 Points
Explain in your own words how probability laws and concepts are used in the evaluation of screening tests and diagnostic criteria in public health. Offer two examples to support your explanation. You do not need to provide calculations but, rather, a summary of the two scenarios and the data to which the distribution would be applied and evaluated. Your response must be at least 200 words in length.
Question 11 20 Points
Compare and contrast binomial and normal distributions. Give an example of each being used in a public health setting. You do not need to provide calculations but, rather, a summary of the scenario and the data to which the distribution would be applied and evaluated. Your response must be at least 200 words in length.
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