. City ZZ has been accused of engaging in racially biased policing at their sobriety checkpoints....
. City ZZ has been accused of engaging in racially biased policing at their sobriety checkpoints. Specifically, members of the Latino community feel as though they more likely to be referred to a secondary inspection area and thus more likely to be arrested than are non-Latino drivers (This is key to understanding the problem). Look at the data below, which represents data from each of the three last sobriety check points and then answer the questions below. (20 Points) Check Point I Check Point II Check Point III Drivers Passing Through Checkpoint Latino Drivers Non-Latino Drivers 349 438 968 1854 216 535 Drivers Referred to Secondary 62 129 Latino Drivers Non-Latino Drivers 159 206 432 659 Drivers Arrested 12 21 Latino Drivers Non-Latino Drivers 34 68 Calculate the probability of Latino and non-Latino driver being referred to a. b. Calculate the probability of a Latino and non-Latino driver referred to secondary c. Calculate the probability that a Latino and non-Latino driver would be referred to d. Calculate the 95% confidence interval that a Latino and non-Latino driver would e. Do you see evidence supporting the allegation from the community? secondary for Check Point I. would be arrested for Check Point II. secondary and arrested for Check Point III. be referred to secondary and subsequently arrested for Check Points I-III.
. City ZZ has been accused of engaging in racially biased policing at their sobriety checkpoints. Specifically, members of the Latino community feel as though they more likely to be referred to a secondary inspection area and thus more likely to be arrested than are non-Latino drivers (This is key to understanding the problem). Look at the data below, which represents data from each of the three last sobriety check points and then answer the questions below. (20 Points) Check Point I Check Point II Check Point III Drivers Passing Through Checkpoint Latino Drivers Non-Latino Drivers 349 438 968 1854 216 535 Drivers Referred to Secondary 62 129 Latino Drivers Non-Latino Drivers 159 206 432 659 Drivers Arrested 12 21 Latino Drivers Non-Latino Drivers 34 68 Calculate the probability of Latino and non-Latino driver being referred to a. b. Calculate the probability of a Latino and non-Latino driver referred to secondary c. Calculate the probability that a Latino and non-Latino driver would be referred to d. Calculate the 95% confidence interval that a Latino and non-Latino driver would e. Do you see evidence supporting the allegation from the community? secondary for Check Point I. would be arrested for Check Point II. secondary and arrested for Check Point III. be referred to secondary and subsequently arrested for Check Points I-III.