Using the data in the worksheet "Consumer Transportation Survey," develop a contingency table for Gender and Vehicle Driven; then answer the following questions:
You must have three pivot tables: the contingency table; the joint probability table; and the conditional probability table.
What is the probability that a respondent is female?
29/50
What is the probability that a respondent drives an SUV?
15/50
What is the probability that a respondent is male and drives a minivan?
1/50
What is the probability that a female respondent drives either a truck or an SUV?
5/29
If it is known that an individual drives, what is the probability that the individual is female?
16/22
If it is known that an individual is male, what is the probability that he drives an SUV?
10/21
Determine whether the random variables "gender" and "vehicle driven" are statistically independent:
Choose:
- Prob (car | female) not equal Prob (female)
- Prob (car | female) not equal Prob (car)
- Prob (car | female) equal Prob (car)
- Prob (female | car) not equal Prob (car)
- Yes, gender and vehicle driven are independent
- No, gender and vehicle driven are not independent
The reason that "female" and "driving car" are not independent is because.