Question #71803

In orange country,51%of the adults are males.one adult is rendomly
Selected for a survey involvingcredit card usage.
1

Expert's answer

2017-12-13T14:16:06-0500

Answer on Question #71803 – Math – Statistics and Probability

Question

In Orange County, 51% of the adults are males. One adult is randomly selected for a survey involving credit card usage.

a) Find the prior probability that the selected person is a female.

b) It is later learned that the selected survey subject was smoking a cigar. Also, 9.5% of males smoke cigars, whereas 1.7% of females smoke cigars. Use this additional information to find the probability that the selected subject is a female.

Solution

Let's use the following notation:


M=maleM=female (or not male)C=cigar smokerC=not cigar smoker\begin{array}{l} M = \text{male} \\ \overline{M} = \text{female (or not male)} \\ C = \text{cigar smoker} \\ \overline{C} = \text{not cigar smoker} \\ \end{array}


a) A prior probability is an initial probability value originally obtained before any additional information is obtained.

The prior probability that the selected person is a female


P(M)=1P(M)=10.51=0.49P(\overline{M}) = 1 - P(M) = 1 - 0.51 = 0.49


b) Bayes' Theorem

The probability of event AA, given that event BB has subsequently occurred, is


P(AB)=P(A)P(BA)[P(A)P(BA)]+[P(A)P(BA)]P(A|B) = \frac{P(A)P(B|A)}{[P(A)P(B|A)] + [P(\overline{A})P(B|\overline{A})]}


Based on the additional information:


P(M)=0.51P(M)=0.49P(CM)=0.095P(CM)=0.017\begin{array}{l} P(M) = 0.51 \\ P(\overline{M}) = 0.49 \\ P(C|M) = 0.095 \\ P(C|\overline{M}) = 0.017 \\ \end{array}


We can now apply Bayes' Theorem.

Then the probability that the selected subject is female using additional information that is later obtained


P(MC)=P(M)P(CM)[P(M)P(CM)]+[P(M)P(CM)]P(MC)=0.49(0.017)[0.49(0.017)]+[0.51(0.095)]0.1467\begin{array}{l} P(\overline{M}|C) = \frac{P(\overline{M})P(C|\overline{M})}{\left[P(\overline{M})P(C|\overline{M})\right] + \left[P(M)P(C|M)\right]} \\ P(\overline{M}|C) = \frac{0.49(0.017)}{[0.49(0.017)] + [0.51(0.095)]} \approx 0.1467 \\ \end{array}


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