use as a diagnostic test for hypertension such that a person with PP_cat PP_cat Let’s is called hypertensive while a person with Please provide a PP_cat =“T+” =“T-” isn’t. contingency table for the two categorical variables and (make sure that hyper PP_cat T+/T- are the rows and D+/D- are the columns)? Answer Question 22[8 points]: Assume that the distribution of blood types in the population is as follows: Blood Type % Population O+ 37.4% O- 6.6% A+ 35.8% A- 6.3% B+ 8.5% B- 1.5% AB+ 3.4% AB- 0.5% Further, assume that two people from this population got married. unrelated Is the above a valid PMF? What is the chance that the couple have different blood types? [Hint: P(E)=1-P(Ec)]
Let’s use PP_cat as a diagnostic test for hypertension such that a person with PP_cat =“T+” is called hypertensive while a person with PP_cat =“T-” isn’t. Please provide a contingency table for the two categorical variables hyper and PP_cat (make sure that T+/T- are the rows and D+/D- are the columns)? Answer Question 22[8 points]: Assume that the distribution of blood types in the population is as follows: Blood Type % Population O+ 37.4% O- 6.6% A+ 35.8% A- 6.3% B+ 8.5% B- 1.5% AB+ 3.4% AB- 0.5% Further, assume that two unrelated people from this population got married. Is the above a valid PMF? What is the chance that the couple have different blood types? [Hint: P(E)=1-P(Ec)]
hw2biom505fall18.docx