Given below are the analysis of variance results from a stat software display comparing sample data for the mean mileage for 4 different types of cars. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from cars with the same mileage. What can you conclude about the equality of the population means? Source DF SS MS F p Factor 3 13.500 4.500 5.17 0.011 Error 16 13.925 0.870 Total 19 27.425 12) What is the null and alternative hypothesis for this scenari? Based on this One Way Anova software analysis, would you reject of fail to reject the nul hypothesis? What does this result mean in context?

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Given below are the analysis of variance results from a stat software display comparing sample data for the mean
mileage for 4 different types of cars. Assume that you want to use a 0.05 significance level in testing the null hypothesis
that the different samples come from cars with the same mileage.
What can you conclude about the equality of the population means?
Source DF SS MS F p
Factor 3 13.500 4.500 5.17 0.011
Error 16 13.925 0.870
Total 19 27.425 12)
What is the null and alternative hypothesis for this scenari?
Based on this One Way Anova software analysis, would you reject of fail to reject the nul hypothesis?
What does this result mean in context?

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