The postal service sorts mail as Priority Mail Express, Priority Mail, First-Class Mail, or Standard Mail. Over a period of 3 weeks, 18 of each type were mailed from the Network Distribution Center in Atlanta, Georgia, to Des Moines, Iowa. The total delivery time in days was recorded. Minitab was used to perform the ANOVA. The results follow:
Source | DF | SS | MS | F | P | |
Factor | 3 | 1.65 | 0.55 | 1.57 | 0.205 | |
Error | 68 | 24.09 | 0.35 | |||
Total | 71 | 25.74 | ||||
Level | N | Mean | StDev |
Priority Mail Express | 18 | 2.970 | 0.580 |
Priority Mail | 18 | 3.042 | 0.866 |
First-Class Mail | 18 | 3.335 | 0.435 |
Standard Mail | 18 | 3.266 | 0.377 |
Using the ANOVA results, compare the average delivery times of the four different types of mail.
Identify the null hypothesis and the alternate hypothesis.
Null hypothesis:
H0: μ1 ≠ μ2 ≠ μ3 ≠ μ4
H0: μ1 = μ2 = μ3 = μ4
a
b
Alternate hypothesis:
H1: At least one mean is different.
H1: All means are equal.
What is the decision rule? Use the 0.05 significance level. (Round your answer to 2 decimal places.)
Use the 0.05 significance level to test if this evidence suggests a difference in the means for the different types of mail.
Null hypothesis:
H0: μ1 = μ2 = μ3 = μ4
Alternate hypothesis:
H1: At least one mean is different.
What is the decision rule? Use the 0.05 significance level. (Round your answer to 2 decimal places.)
if p<0.05,reject Ho
if p>0.05,do not reject Ho
Here Fstatistic,F=1.57,p=0.205=0.21(rounded to 2 decimals)
p>0.05
Do not reject Ho.
Accept Ho
Use the 0.05 significance level to test if this evidence suggests a difference in the means for the different types of mail
There is no sufficient statisitcal evidence at 5% level of significance to conclude that there are difference in the means for the different types of mail.
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