In: Statistics and Probability
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: μ1 ≠
μ2 ≠ μ3
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: μ1 ≠
μ2 ≠
μ3H0:
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.
x1 − x3
=
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.
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.