10. Based on a random sample of 13 tire changes, the mean time to change a tire on a Boeing 777 has a mean of 59.5 minutes with a standard deviation of 8.4 minutes. For 10 tire changes on a Boeing 787 the mean time was 64.3 minutes with a standard deviation of 12.4 minutes. To test for equal variances in a two-tailed test at alpha = .10, the critical values are: Select one: 3.73 and .228 2.51 and 3.67 3.07 and .398 3.07 and .357

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Answer: 3.07 and 0.357

Step-by-step explanation:

To solve the problems above, we use the F- distribution or statistic to test the equality of variance in a two tailed test.

We can employ the excel function :

F.INV.RT(alpha, deg_of _freedom1, deg_of_freedom2) to get the right tail and

F. INV(alpha, deg_of _freedom1, deg_of_freedom2)

alpha = 0.1

For a two tailed test ;

Alpha = 0.1 ÷ 2 = 0.05

Deg_of freedom1 = (number of observation1 - 1)

Deg_of freedom1 = 13 - 1 = 12

Deg_of freedom2 = (number of observation2 - 1)

Deg_of freedom2 = 10 - 1 = 9

Right tail:

F.INV.RT(0.05,12,9) = 3.07

F.INV(0.05,12,9) = 0.357

The critical values are: 3.07 and 0.357 respectively

How to determine the critical values

The given parameters are:

[tex]\alpha = .10[/tex]

Boeing 777

[tex]n_1 = 13[/tex]

[tex]\bar x_1 = 59.5[/tex]

[tex]\sigma_1 = 8.4[/tex]

Boeing 787

[tex]n_2 = 10[/tex]

[tex]\bar x_2 = 64.3[/tex]

[tex]\sigma_2 = 12.4[/tex]

Start by calculating the degrees of freedom of both samples

[tex]df = n - 1[/tex]

So, we have:

[tex]df_1 = 13 - 1\\\\[/tex]

[tex]df_1 = 12[/tex]

[tex]df_2 = 10 - 1\\[/tex]

[tex]df_2 = 9[/tex]

Calculate the level of significance

[tex]s = \frac{\alpha}{2}[/tex]

[tex]s = \frac{0.10}{2}[/tex]

[tex]s = 0.05[/tex]

Next, we use the table of values for the critical values

At significance level of 0.05, degree of freedom of 12 and 9

The critical values are:

Sample 1 = 3.07

Sample 2 = 0.357

Hence, the critical values are: 3.07 and 0.357 respectively

Read more about critical values at:

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