Question

In: Statistics and Probability

An employee of a small software company in Minneapolis bikes to work during the summer months....

An employee of a small software company in Minneapolis bikes to work during the summer months. He can travel to work using one of three routes and wonders whether the average commute times (in minutes) differ between the three routes. He obtains the following data after traveling each route for one week.

Route 1 32 35 33 28 35
Route 2 22 24 25 24 22
Route 3 29 30 20 20 27

a-1. Construct an ANOVA table. (Round "Sum Sq" to 1 decimal place, "Mean Sq" and "F value" to 2, and round the "p-value" to 4 decimal places.)

ANOVA

Source of Variation Df Sum Sq Mean Sq F value Pr(>F)
Route
Residuals

a-2. At the 5% significance level, do the average commute times differ significantly between the three routes. Assume that commute times are normally distributed.

  • Yes, since the p-value is less than significance level.

  • Yes, since the p-value is not less than significance level.

  • No, since the p-value is less than significance level.

  • No, since the p-value is not less than significance level.

b. Use Tukey’s HSD method at the 5% significance level to determine which routes' average times differ. (Round difference to 1 decimal place, confidence interval bounds to 2 decimal places, and p-values to 3.)

Population Mean Difference diff lwr upr p adj do the average times differ?
Route 2 - Route 1
Route 3 - Route 1
Route 3 - Route 2

Solutions

Expert Solution

a-1)

Following table shows the calculations:

Route 1, G1 Route 2, G2 Route 3, G3
32 22 29
35 24 30
33 25 20
28 24 20
35 22 27
Total 163 117 126

And

G G^2
32 1024
35 1225
33 1089
28 784
35 1225
22 484
24 576
25 625
24 576
22 484
29 841
30 900
20 400
20 400
27 729
Total 406 11362

So we have


Now

So,

Since there are 5 different groups so we have k=5. Therefore degree of freedoms are:

-------------

Now

F test statistics is

So p-value of the test using excel function "=FDIST(10.55,2,12)" is 0.0023.

a-2)

Since P-value is less than 0.05 so we reject the null hypothesis. That is on the basis of sample evidence we can conclude that populations are different.
Correct option:

Yes, since the p-value is less than significance level.

b)

Here we have 3 groups and total number of observations are 15. So degree of freedom is

df= 15-3 = 12

Critical value for , df=12 and k=3 is

So Tukey's HSD will be

The sample means are

The required confidence intervals are:

groups (i-j) xbari xbarj ni nj HSD xbari-xbarj Lower limit Upper limit Significant(Yes/No)
mu1-mu2 32.6 23.4 5 5 5.66 9.2 3.54 14.86 Yes
mu1-mu3 32.6 25.2 5 5 5.66 7.4 1.74 13.06 Yes
mu2-mu3 23.4 25.2 5 5 5.66 -1.8 -7.46 3.86 No

--------------------------------

Following is the screen shot of R script:

Following is the output:


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