Question

	ROLLER COASTER	SCREAMING DEMON	LONG FLUME
METHOD 1	49	53	46
	51	45	42
METHOD 2	50	49	48
	52	45	44

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use . Factor A is method of loading and unloading; Factor B is the type of ride.

	Type of Ride
	Roller Coaster	Screaming Demon	Long Flume
Method 1	49	53	46
	51	45	42
Method 2	50	49	48
	52	45	44

Set up the ANOVA table (to whole number, but -value to 2 decimals and  value to 1 decimal, if necessary).

It limits what I can upload so I can't show you my output

Answer 1

This can be solved using excel<data<megastat<anova<two factor<Enter 2 replications

The output is as follows:

Two factor ANOVA
			Factor 2
	Means:
		Roller Coaster	Screaming Demon	Long Flume
	Method 1	50.0	49.0	44.0	47.7
Factor 1	Method 2	51.0	47.0	46.0	48.0
		50.5	48.0	45.0	47.8
	2	replications per cell
ANOVA table
Source	SS	df	MS	F	p-value
Factor 1	0.33	1	0.333	0.03	.8611
Factor 2	60.67	2	30.333	3.03	.1229
Interaction	8.67	2	4.333	0.43	.6671
Error	60.00	6	10.000
Total	129.67	11

The table is as follows up to two decimal places:

Source	SS	df	MS	F	p-value
Factor 1	0.33	1.00	0.33	0.03	0.86
Factor 2	60.67	2.00	30.33	3.03	0.12
Interaction	8.67	2.00	4.33	0.43	0.67
Error	60.00	6.00	10.00
Total	129.67	11.00

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