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short answer (8 points each). show your work for full credit. 21) the t…

Question

short answer (8 points each). show your work for full credit.

  1. the table below describes the smoking habits of a group of asthma sufferers.

\t\t\t\toccasional smoker\tregular smoker\theavy smoker\ttotal
\t\tnonsmoker\t\t\t\t\t\t
men\t342\t40\t69\t35\t486
women\t362\t44\t61\t37\t504
total\t704\t84\t130\t72\t990
if one of the 990 people is randomly selected,
(a) find the probability that the person is a woman.
(b) find the probability that the person is a man or a heavy smoker.
(c) find the probability that the person is a woman, given that the person is a regular smoker.
(d) find the probability that person is a woman and occasional smoker.
round all answers to 3 decimal places.

Explanation:

Part (a)

Step 1: Identify relevant counts

The total number of people is \( N = 990 \). The number of women is \( n(\text{women}) = 504 \).

Step 2: Apply probability formula

The probability \( P(\text{woman})=\frac{n(\text{women})}{N}=\frac{504}{990}\approx0.509 \)

Part (b)

Step 1: Identify counts for man or heavy smoker

Number of men: \( n(\text{men}) = 486 \)
Number of heavy smokers: \( n(\text{heavy smoker}) = 72 \)
Number of men who are heavy smokers: \( n(\text{men and heavy smoker}) = 35 \)
Using the formula \( P(A\cup B)=P(A)+P(B)-P(A\cap B) \), where \( A \) is "man" and \( B \) is "heavy smoker".

Step 2: Calculate each probability

\( P(\text{man})=\frac{486}{990} \), \( P(\text{heavy smoker})=\frac{72}{990} \), \( P(\text{man and heavy smoker})=\frac{35}{990} \)
\( P(\text{man or heavy smoker})=\frac{486 + 72 - 35}{990}=\frac{523}{990}\approx0.528 \)

Part (c)

Step 1: Identify counts for regular smoker and woman regular smoker

Number of regular smokers: \( n(\text{regular smoker}) = 130 \)
Number of women regular smokers: \( n(\text{woman and regular smoker}) = 61 \)

Step 2: Apply conditional probability formula

\( P(\text{woman}|\text{regular smoker})=\frac{P(\text{woman and regular smoker})}{P(\text{regular smoker})}=\frac{\frac{61}{990}}{\frac{130}{990}}=\frac{61}{130}\approx0.469 \)

Part (d)

Step 1: Identify count for woman and occasional smoker

Number of women who are occasional smokers: \( n(\text{woman and occasional smoker}) = 44 \)

Step 2: Apply probability formula

\( P(\text{woman and occasional smoker})=\frac{44}{990}\approx0.044 \)

Answer:

(a) \(\boldsymbol{0.509}\)
(b) \(\boldsymbol{0.528}\)
(c) \(\boldsymbol{0.469}\)
(d) \(\boldsymbol{0.044}\)