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In a random sample of 45 drivers ages 16-18, a total of 11 drivers had recently been involved in a car accident. In a random

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In a random sample of 45 drivers ages 16-18, a total of 11 drivers had recently been involved in a car accident. In a random sample of 60 drivers ages 19-24, that number was 9. If you assume that the proportion of accidents is the same in both age groups, what is the estimated standard error of (P1 - P2)? O 0.0461 O 0.0641 O 0.0774 O 0.1102In a random sample of 45 drivers ages 16-13, a total of 11 drivers had recently been involved in a car accident. In a random sample of 60 drivers. ages 19-24. that number was 5". Let drivers ages 16-13 be population 1. and let drivers ages 1?-24 be population 2. You are interested in determining whether vounger drivers are more likelyr to be involved in an accident. How do you formulate the alternative hypothesis? DIM132:0 03311323\" 033113250 03311323)\" In a random sample of 45 drivers ages 16-13, a total of 11 drivers had recently been involved in a car accident. In a random sample of (:0 drivers ages 19-24. that number was 9. Conduct a hypothesis test to determine if younger drivers are more likelyr to be involved in a car accident. What is the value of your test statistic? Q 4.55 c. 1.22 O 1.65 C} 1.95

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