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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? |Click the icon to view gender and vehicle driven data. a. The probability that the respondent is female isO (Type an integer or a decimal. Do not round.) b. The probability that the respondent drives an SUV is (Type an integer or a decimal. Do not round.) c. The probability that a respondent is male and drives a minivan is (Type an integer or a decimal. Do not round.) d. The probability that a female respondent drives either a truck or an SUV is (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 (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.)

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? |Click the icon to view gender and vehicle driven data. a. The probability that the respondent is female isO (Type an integer or a decimal. Do not round.) b. The probability that the respondent drives an SUV is (Type an integer or a decimal. Do not round.) c. The probability that a respondent is male and drives a minivan is (Type an integer or a decimal. Do not round.) d. The probability that a female respondent drives either a truck or an SUV is (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 (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.)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Row varl var2 var 1 Vehicle Driven Gender Truck Male 3 Truck Male 4 Truck Male 5 Truck Male 6 SUV Male SUV Male 8 SUV Male 9 SUV Male 10 SUV Male 11 SUV Male 12 SUV Male 13 SUV Male 14 SUV Female 15 SUV Female 16 SUV Male 17 SUV Male 18 SUV Female 19 SUV Female 20 SUV Male 21 Minivan Female 22 Minivan Female 23 Miniyan Female 24 Minivan Female 25 Minivan Female 26 Minivan Male 27 Minivan Female 28 Minivan Female 29 Minivan Female 30 Car Female 31 Car Female 32 Car Female 33 Car Male 34 Car Male 35 Car Female 36 Car Female 37 Car Female 38 Car Male 39 Car Female 40 Car Female 41 Car Female 42 Car Female 43 Car Female 44 Car Male 45 Car Male 46 Car Female 47 Car Female 48 Car Female 49 Car Female 50 Car Female 51 Car Female
Transcribed Image Text:Row varl var2 var 1 Vehicle Driven Gender Truck Male 3 Truck Male 4 Truck Male 5 Truck Male 6 SUV Male SUV Male 8 SUV Male 9 SUV Male 10 SUV Male 11 SUV Male 12 SUV Male 13 SUV Male 14 SUV Female 15 SUV Female 16 SUV Male 17 SUV Male 18 SUV Female 19 SUV Female 20 SUV Male 21 Minivan Female 22 Minivan Female 23 Miniyan Female 24 Minivan Female 25 Minivan Female 26 Minivan Male 27 Minivan Female 28 Minivan Female 29 Minivan Female 30 Car Female 31 Car Female 32 Car Female 33 Car Male 34 Car Male 35 Car Female 36 Car Female 37 Car Female 38 Car Male 39 Car Female 40 Car Female 41 Car Female 42 Car Female 43 Car Female 44 Car Male 45 Car Male 46 Car Female 47 Car Female 48 Car Female 49 Car Female 50 Car Female 51 Car Female
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 (Type an integer or a decimal. Do not round.) b. The probability that the respondent drives an SUV is (Type an integer or a decimal. Do not round.) c. The probability that a respondent is male and drives a minivan is| (Type an integer or a decimal. Do not round.) d. The probability that a female respondent drives either a truck or an SUV is (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 (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.
Transcribed Image Text: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 (Type an integer or a decimal. Do not round.) b. The probability that the respondent drives an SUV is (Type an integer or a decimal. Do not round.) c. The probability that a respondent is male and drives a minivan is| (Type an integer or a decimal. Do not round.) d. The probability that a female respondent drives either a truck or an SUV is (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 (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.
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