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

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. As such, conduct an ANOVA F-test to investigate if the average fuel efficiency of cars differs between the three types of cars.

Run the One Way ANOVA:

What is the value of the test statistic of this ANOVA test?

1. Test statistic =

(Round to the nearest two decimal places as needed.)

What are the degrees of freedom of the test statistic of the ANOVA test?

1. Degrees of Freedom (Total)= (whole number.)

What is the P-value of the test statistic of the ANOVA test?

1. P-value= (Round to the nearest three decimal places as needed.)

Describe what you conclude from the outcome of this ANOVA test. Is it in line with the expectations you had?