Question

You operate a travel advisory website, and want to give your users advice on airline timeliness. You select 4 airlines, and monitor their delays at 5 airports. You record average delay times for each airline, at each airport. Then, you run a 2-way ANOVA and get the following partial Result: ANOVA Results Source of Variance SS df MS F Airline 314 Airport 219 Error Total 621

Step 2 of 7: What are the Degrees of Freedom (df) for the variability associated with the Airlines?

Step 3 of 7:

What is the Mean Square for the variability associated with Airports?

Step 4 of 7:

What is the F-statistic for variability associated with Airlines?

Step 5 of 7:

If you are testing for significant effects at the 0.01 level of significance, what would be the critical value of F for assessing the effect of Airlines?

Step 6 of 7:

Is the effect of Airlines significant at the 0.01 level of significance?

Step 7 of 7:

Is the effect of Airports significant at the 0.01 level of significance?

Answer 1

ANOVA
	SS	df	MS	F	p-value
airline	314	3.0000	104.6667	14.2728	0.000291
airport	219	4.0000	54.7500	7.4659	0.002929
error	88	12.0000	7.3333
total	621	19.0000

2)

df airline = 4-1 = 3

3)

MS airport = 54.7500

4)

F =14.2728

5)

=F.INV.RT(0.01,C3,C5)

=5.9525

6)

yes, significant

7)

yes,significant