A sample of 500 people are asked,"If you could have a new vehicle, would you want asport utility vehicle or a car?" The result of the survey counts follows:

The complete table would be the follwing:
A.
To get this probability, we take the total number people who pefer an SUV, and divide it by the total number of people in the sample
[tex]P(S)=\frac{210}{500}[/tex]B.
To get this probability, we take the total number of females, and divide it by the total number of people in the sample
[tex]P(F)=\frac{315}{500}[/tex]C.
To get this probability, we take the total number of females who pefer a car, and divide it by the total number of people in the sample
[tex]P(F\cap C)=\frac{263}{500}[/tex]D.
[tex]\begin{gathered} P(F\cup S)=P(F)+P(S)-P(F\cap S) \\ \rightarrow P(F\cup S)=\frac{315}{500}+\frac{210}{500}-\frac{52}{500} \\ \\ \Rightarrow P(F\cup S)=\frac{473}{500} \end{gathered}[/tex]E.
[tex]\begin{gathered} P(S|M)=\frac{P(S\cap M)}{P(S)} \\ \\ \rightarrow P(S|M)=\frac{\frac{158}{500}}{\frac{210}{500}} \\ \\ \Rightarrow P(S|M)=\frac{158}{210} \end{gathered}[/tex]F.
[tex]\begin{gathered} P(M|S)=\frac{P(M\cap S)}{P(S)} \\ \\ \rightarrow P(M|S)=\frac{\frac{158}{500}}{\frac{185}{500}} \\ \\ \Rightarrow P(M|S)=\frac{158}{185} \end{gathered}[/tex]In the final question we're being asked for:
[tex]P((M\cap S)\cap(M\cap C))[/tex]This is:
[tex]P(M\cap S)\cdot P(M\cap C)[/tex][tex]\frac{158}{500}\cdot\frac{27}{500}=0.017[/tex]Therefore, this probability is 0.017