The following ANOVA table shows the results of an experiment used to test how race car drivers and different tracks affect time.The experiment used 3 different drivers on 4 different tracks.Assuming no effect from the interaction between driver and track,test the claim that the three drivers have the same mean time.

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The Answer is : = = ,where γ represents the effect of the driver vs. : Not all of the drivers have the same effect.The null hypothesis states that the driver has no effect on the time.The alternative states that it does.The P-value for the driver is 0.729,providing insufficient evidence that the driver has an affect on mean times.

: = = ,where γ represents the effect of the driver vs. : Not all of the drivers have the same effect.The null hypothesis states that the driver has no effect on the time.The alternative states that it does.The P-value for the driver is 0.729,providing insufficient evidence that the driver has an affect on mean times.

:

=

,where γ represents the effect of the driver vs. : = = ,where γ represents the effect of the driver vs. : Not all of the drivers have the same effect.The null hypothesis states that the driver has no effect on the time.The alternative states that it does.The P-value for the driver is 0.729,providing insufficient evidence that the driver has an affect on mean times.

: Not all of the drivers have the same effect.The null hypothesis states that the driver has no effect on the time.The alternative states that it does.The P-value for the driver is 0.729,providing insufficient evidence that the driver has an affect on mean times.

The Following ANOVA Table Shows the Results of an Experiment