A survey asked people how often they exceed speed limits. The data are then categorized into the following contingency table of counts showing the relationship between age group and response. Exceed Limit if Possible? Age Always Not Always Total Under 30 100 100 200 Over 30 40 160 200 Total 140 260 400 Among people age over 30, what's the "risk" of always exceeding the speed limit Select one: a. 0.40 b. 0.20
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A survey asked people how often they exceed speed limits. The data are then categorized into the following contingency table of counts showing the relationship between age group and response. Exceed Limit if Possible? Age Always Not Always Total Under 30 100 100 200 Over 30 40 160 200 Total 140 260 400 Among people age over 30, what's the "risk" of always exceeding the speed limit Select one: a. 0.40 b. 0.20 c. 0.33 d. 0.50 e. None of these
Madhur L.
A survey asked people how often they exceed speed limits. The data are then categorized into the following contingency table of counts showing the relationship between age group and response. Exceed Limit if Possible? Age Always Not Always Total Under 30 100 100 200 Over 30 40 160 200 Total 140 260 400 Among people age over 30, what's the "risk" of always exceeding the speed limit?
Supreeta N.
Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. a. When designing a study to determine this population, what is the minimum number you would need to survey to be 95 $\%$ confident that the population proportion is estimated to within 0.03$?$ b. If it were later determined that it was important to be more than 95$\%$ confident and a new survey was commissioned, how would that affect the minimum number you would need to survey? Why?
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