(a)
Objective:
To check whether the population mean times among the four machines are same or not at α=0.05 level of significance.
Null and alternative hypotheses:
The null and alternative hypotheses are as follows:
H0: µ1 = µ2 = µ3 = µ4
That is, the mean time between breakdowns is same for the four machines.
Ha: µ1 ≠ µ2 ≠ µ3 ≠ µ4
That is, the mean time between breakdowns is not the same for the four machines.
Test statistic:
Procedure to obtain test statistic using Excel:
Output is as follows:
From the output, the test statistic is 16.80 (with two decimal places) and p-value is 0.000 (with three decimal places).
Conclusion:
Since p-value is less than the significance level of 0.05, reject H0 at 5% level of significance.
The correct option is third option. Reject H0. There is sufficient evidence to conclude that the mean time between breakdowns is not the same for the four machines.
(b) Fisher’s LSD:
The mean of column 2 and column 4 is 9.2 and 11.4 respectively. The difference between these two means is calculated below:
From the output the degrees of freedom for within groups is 20 and MS for within groups is 0.984.
The null and alternative hypotheses are:
H0: the mean time of machines 2 and 4 are same.
Ha: the mean time of machines 2 and 4 are not same.
Fisher’s LSD is calculated for machines 2 and 4 is as follows:
Since |x2-bar – x4-bar|> LSD2,4, the null hypothesis rejected. Therefore, there is sufficient evidence to conclude that the mean time of machines 2 and 4 are not same.
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