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Which of the following options is one of the four 'common points of vulnerability' when seeking to avoid ethical controversies in the management of data?

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Which of the following options is one of the four 'common points of vulnerability' when seeking to avoid ethical controversies in the management of data? O A. Information loss O B. Social vulnerability O C. Collection and consent O D. Physical and emotional vulnerability O E. Financial vulnerabilityThe following table compares fuel economy as calculated by car owners and by a. Choose the correct graph below. government standards. C) A. Car Owner (x) Government (y) D y A 15.1 17.2 60 Q B 18.8 22.8 c 28.2 25.8 Q D 29.3 34.5 E 32.7 32.5 0 Bi F 18.6 19.5 G 37.6 46.1 H 36.9 38.7 | 33.3 52.0 Q a. Construct a scatter diagram to investigate the relationship between owner calculated mileage and government calculated mileage. Q b. Is there a relationship between the variables? Is it positive or negative? D\" b. Is there a relationship between the variables? Is it positive or negative? The following table compares fuel economy as calculated by car owners and by government standards. Car Owner (x) Government (y) D A 15.1 17.2 B 18.8 22.8 C 28.2 25.8 D 29.3 34.5 E 32.7 32.5 F 18.6 19.5 G 37.6 46.1 H 36.9 38.7 | 33.3 52.0 a. Construct a scatter diagram to investigate the relationship between owner calculated mileage and government calculated mileage. b. Is there a relationship between the variables? Is it positive or negative? (\"'2 c. 1;: D. b. Is there a relationship between the variables? Is it positive or negative? 3 There is no relationship between the two variables. (3i? 3 The relationship is positive because owner mileage is almost exactly equal to government mileage. ("J The relationship is positive because as one variable increases, the other variable also tends to increase. I 1 U The relationship is negative because owner mileage is usually below the government mileage. Given the following frequency distribution for n = 100. Class intervals Frequency 0-under 10 20 a. Approximate the mean. 10-under 20 20 b. Approximate the standard deviation. 20-under 30 10 30-under 40 30 40-under 50 20 100 . . . a. X= (Type an integer or a decimal.) b. S = (Round to two decimal places as needed.)Asample of 500 respondents was selected in a large metropolitan area to study consumer behavior. The resulting contingency table is shown to the Enjoys shopping for clothing Male right. Complete parts (a) through {c}. Yes 148 No 121 Total 269 a. Suppose the respondent chosen is a female. What is the probability that she does not enjoy shopping for clothing? F'(does not enjoy shopping female) = (Round to four decimal places as needed.) b. Suppose the respondent chosen enjoys shopping for clothing. What is the probability that the individual is a male? P(maie|enjoys shopping) = (Round to four decimal places as needed.) Gender Female 189 42 231 Total 337 1 63 500 A sample of 500 respondents was selected in a large metropolitan area to Gender study consumer behavior. The resulting contingency table is shown to the Enjoys shopping for clothing Male Female Total right. Complete parts (a) through (c). Yes 148 189 337 No 121 42 163 Total 269 231 500 . . . b. Suppose the respondent chosen enjoys shopping for clothing. What is the probability that the individual is a male? P(male|enjoys 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. No, because P(male|enjoys shopping) # P(male). O B. Yes, because P(male|enjoys shopping) = P(male). O C. Yes, because P(male|enjoys shopping) # P(male). O D. No, because P(male|enjoys shopping) = P(male)

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