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In: Statistics and Probability

An automobile dealer conducted a test to determine if the time in minutes needed to complete...

An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow.

Analyzer
Computerized Electronic
Car Compact 49 41
Intermediate 56 45
Full-sized 63 46

Use α = 0.05 to test for any significant differences.

State the null and alternative hypotheses.

H0: μCompactμIntermediateμFull-sized
Ha: μCompact = μIntermediate = μFull-sizedH0: μCompact = μIntermediate = μFull-sized
Ha: μCompactμIntermediateμFull-sized    H0: μComputerized = μElectronic
Ha: μComputerizedμElectronicH0: μComputerizedμElectronic
Ha: μComputerized = μElectronicH0: μComputerized = μElectronic = μCompact = μIntermediate = μFull-sized
Ha: Not all the population means are equal.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

State your conclusion.

Do not reject H0. There is not sufficient evidence to conclude that the mean tune-up times are not the same for both analyzers.Do not reject H0. There is sufficient evidence to conclude that the mean tune-up times are not the same for both analyzers.    Reject H0. There is sufficient evidence to conclude that the mean tune-up times are not the same for both analyzers.Reject H0. There is not sufficient evidence to conclude that the mean tune-up times are not the same for both analyzers.

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