Refer to the contingency table shown below. Smoking by Race for Males Aged 18-24 Smoker (S) Nonsmoker (N) Row Total White (W) 289 571 860 Black (B) 50 90 140 Column Total 339 661 1,000 Click here for...


Refer to the contingency table shown below.






















































Smoking by Race for Males Aged 18-24

Smoker
(S)


Nonsmoker
(N)


Row Total

White (W)
289571860

Black (B)
5090140

Column Total
3396611,000



 Click here for the Excel Data File


(a) Calculate the probabilities given below:(Round your answers to 4 decimal places.)



















































i.

P(S)

ii.

P(W)

iii.

P(S |W)

iv.

P(S |B)

v.

P(S andW)

vi.

P(N andB)



(b) Do you see evidence that smoking and race arenot independent?






  • Yes







  • No









(c) Why might public health officials be interested in this type of data?






  • Health officials might target or design special programs based on race.







  • Health officials can use this as an excuse to explain the lack of initiatives to curb smoking.







  • Health officials are not interested.







Jun 04, 2022
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