Using the accompanying data, develop a cross-tabulation for Gender and Vehicle Driven; then convert this table into probabilities. a. What is the probability that the respondent is female? b. What is the probability that the respondent drives an SUV? c. What is the probability that a respondent is male and drives a minivan? d. What is the probability that a female respondent drives either a truck or an SUV? e. If it is known that an individual drives a car, what is the probability that the individual is female? f. If it is known that an individual is male, what is the probability that he drives an SUV? g. Determine whether the random variable "gender" and the event "vehicle driven" are statistically independent. What would this mean for advertisers? E Click the icon to view gender and vehicle driven data. a. The probability that the respondent is female is 0.58 (Type an integer or a decimal. Do not round.) b. The probability that the respondent drives an SUV is 0.3 (Type an integer or a decimal. Do not round.) c. The probability that a respondent is male and drives a minivan is 0.02 (Type an integer or a decimal. Do not round.) d. The probability that a female respondent drives either a truck or an SUV isN (Round to four decimal places as needed.) e. If it is known that an individual drives a car, the probability that the individual is female is O (Round to four decimal places as needed.) f. If it is known that an individual is male, the probability that he drives an SUV is (Round to four decimal places as needed.) g. Gender and Vehicle Driven statistically independent because P(SUV | Male) P(SUV). If the random variable "gender" and the event "vehicle driven" are statistically independent, advertisers need to target different genders V for different vehicles.