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A sample of 500 respondents was selected in a large metropolitan area to study consumer behavior. The resulting contingency table is shown to Enjoys shopping

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A sample of 500 respondents was selected in a large metropolitan area to study consumer behavior. The resulting contingency table is shown to Enjoys shopping for clothing the right. Complete parts (a) through (C) Yes No Total Male 143 124 Gender Female 186 47 233 Total 329 267 500 4 a. Suppose the respondent chosen is a female. What is the probability that she does not enjoy shopping for clothing? P(does not enjoy shopping|female)=(Round to four decimal places as needed) -r b. Suppose the respondent chosen enjoys shopping for clothing. What is the probability that the individual is a male? P(maleenjoys shopping) = (Round to four decimal places as needed) c. Are enjoying shopping for clothing and the gender of the individual statistically independent? Explain. O A. Yes, because P(maleenjoys shopping)# P(male). O B. Yes, because P(malelenjoys shopping) = P(male). O C. No, because P(maleenjoys shopping) = P(male). OD. No, because P(malelenjoys shopping) + P(male)

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