DATA SET:https://www.statcrunch.com/app/?dataurl=http://www.statcrunch.com/books/CQL/dataset/Fuel_Economy.txt&dlim=tab&ft=true

Options continued

C.All medians of fuel efficiency are equal for the three types of cars

D.All three means of fuel efficiency are different for the three types of cars

What is the alternative hypothesis of the test that there is no difference in fuel efficiency between the types of? cars?

A.

All means of fuel efficiency are equal for the three types of carsB.

All three means of fuel efficiency are different for the three types of cars

C.

All medians of fuel efficiency are equal for the three types of cars

D.

At least one mean of fuel efficiency differs from the means of the other two types of cars

Create? side-by-side boxplots in StatCrunch. What type of car has highest variability in fuel efficiency? (judge by the? graph, do not? calculate)?

A.

Passenger cars

B.

Trucks

C.

SUVs

And again looking at the? side-by-side boxplot? only, without yet doing any? calculations: do you expect to find significant differences in mean fuel efficiency between the types of? cars?

A.

?No, because differences in medians are small.

B.

?Yes, because differences in medians are small.

C.

?Yes, because differences in medians are small relative to the amount of variation within each type.

D.?No, because differences in medians are small relative to the amount of variation within each type.

A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is conducting research in order to update its fuel economy standards for the year 2030. Automobile manufacturers, and consumers, are highly interested in what the agency's findings and determinations will be as this will affect every vehicle in the United States. The federal government agency is very interested in the relationship between the weight of a vehicle and the vehicle's fuel economy (average miles per gallon (MPG)). Specifically, the agency is concerned that if the current trend of automobile manufacturers producing heavier new vehicles continues that its fuel economy targets will not be met. The agency's research department recently collected data for analysis in order to support the agency's upcoming discussion with industry regarding its proposed 2030 fuel economy standards. The average MPG from a random sample of 750 vehicles was recently calculated by the agency. The research division also collected the vehicle weight of these 750 randomly sampled vehicles. The Vehicle Number, Type, Vehicle Weight, Average MPG, Fuel Tank Size (Gallons), Engine Size (Liters), and Meet or Not Meet Current Standards data were collected for these 750 vehicles. One typically expects that e.g. trucks have a different fuel efficiency than passenger cars. That could be tested by a two-sample t-test, but we do not have two types of cars, but more than two. Our two-sample test won't help comparing passenger cars, SUVs and trucks. If we wish to investigate if the average fuel efficiency of cars differs between the three types of cars, what type of analysis do we need? O A. ANOVA F-test O B. Two-sample t-test O C. x2 test for homogeneity O D. x2 test for independence What is the null hypothesis of the test that there is no difference in fuel efficiency between the types of cars? A. All means of fuel efficiency are equal for the three types of cars O B. At least one mean of fuel efficiency differs from the means of the other two types of cars C. All medians of fuel efficiency are equal for the three types of cars