In: Statistics and Probability
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: μCompact ≠
μIntermediate ≠
μFull-sized
Ha: μCompact =
μIntermediate =
μFull-sizedH0:
μCompact = μIntermediate =
μFull-sized
Ha: μCompact ≠
μIntermediate ≠
μFull-sized H0:
μComputerized =
μElectronic
Ha: μComputerized ≠
μElectronicH0:
μComputerized ≠
μElectronic
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.