Question

In: Statistics and Probability

To test whether the mean time needed to mix a batch of material is the same...

To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, a chemical company obtained the following data on the time (in minutes) needed to mix the material.

Manufacturer
1 2 3
20 28 19
26 25 20
25 32 22
21 27 23

(a)

Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use

α = 0.05.

State the null and alternative hypotheses.

H0: μ1μ2μ3
Ha: μ1 = μ2 = μ3H0: At least two of the population means are equal.
Ha: At least two of the population means are different.     H0: μ1 = μ2 = μ3
Ha: μ1μ2μ3H0: μ1 = μ2 = μ3
Ha: Not all the population means are equal.H0: Not all the population means are equal.
Ha: μ1 = μ2 = μ3

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 time needed to mix a batch of material is not the same for each manufacturer.Reject H0. There is sufficient evidence to conclude that the mean time needed to mix a batch of material is not the same for each manufacturer.     Reject H0. There is not sufficient evidence to conclude that the mean time needed to mix a batch of material is not the same for each manufacturer.Do not reject H0. There is sufficient evidence to conclude that the mean time needed to mix a batch of material is not the same for each manufacturer.

(b)

At the α = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3.

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

LSD =

Find the pairwise absolute difference between sample means for manufacturers 1 and 3.

x1x3

=

What conclusion can you draw after carrying out this test?

There is a significant difference between the means for manufacturer 1 and manufacturer 3.There is not a significant difference between the means for manufacturer 1 and manufacturer 3.     

Solutions

Expert Solution

Applying one way ANOVA: (use excel: data: data analysis: one way ANOVA: select Array):
Source SS df MS F P value
Between 104.0000 2 52.0000 7.5484 0.012
Within 62.0000 9 6.8889
Total 166.0000 11

a)

H0: μ1 = μ2 = μ3
Ha: Not all the population means are equal.

value of the test statistic =7.55

p-value =0.012

Reject H0. There is sufficient evidence to conclude that the mean time needed to mix a batch of material is not the same for each manufacturer.

b)

critical value of t with 0.05 level and N-k=9 degree of freedom= tN-k= 2.262
Fisher's (LSD) for group i and j =(tN-k)*(sp*√(1/ni+1/nj)   = 4.20
x3-x1 2.00 not significant difference

.There is not a significant difference between the means for manufacturer 1 and manufacturer 3.     


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