o 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 21 27 20 25 27 20 25 31 23 17 23 17 (a) Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use ? = 0.05. State the null and alternative hypotheses. H0: Not all the population means are equal. Ha: μ1 = μ2 = μ3 H0: μ1 = μ2 = μ3 Ha: μ1 ≠ μ2 ≠ μ3 H0: μ1 ≠ μ2 ≠ μ3 Ha: μ1 = μ2 = μ3 H0: At least two of the population means are equal. Ha: At least two of the population means are different. H0: μ1 = μ2 = μ3 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. (A) 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. (B) 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. (C) 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. (D) 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 ? = 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? = (A) There is a significant difference between the means for manufacturer 1 and manufacturer 3. (B) There is not a significant difference between the means for manufacturer 1 and manufacturer 3
To test whether the
Manufacturer | ||
---|---|---|
1 | 2 | 3 |
21 | 27 | 20 |
25 | 27 | 20 |
25 | 31 | 23 |
17 | 23 | 17 |
(a) Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use ? = 0.05.
State the null and alternative hypotheses.
H0: Not all the population means are equal.
Ha: μ1 = μ2 = μ3
H0: μ1 = μ2 = μ3
Ha: μ1 ≠ μ2 ≠ μ3
H0: μ1 ≠ μ2 ≠ μ3
Ha: μ1 = μ2 = μ3
H0: At least two of the population means are equal.
Ha: At least two of the population means are different.
H0: μ1 = μ2 = μ3
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.
(A) 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.
(B) 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.
(C) 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.
(D) 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 ? = 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? =
(A) There is a significant difference between the means for manufacturer 1 and manufacturer 3.
(B) There is not a significant difference between the means for manufacturer 1 and manufacturer 3.
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