We conducted an experiment to study the effects of two sales
approaches?high-pressure (H) and low-pressure (L)?and to study the
effects of the two sales pitches (1 and 2) on the weekly
sales of our product. The data below was obtained by using a completely randomized
design, also below is an Excel output of a two-way ANOVA of the sales experiment
data. 

a How can I perform a graphical analysis to check for interaction
between sales pressure and sales pitch.

b How can I test for interaction by setting a = .05.

c How can I test for differences in the effects of the levels of sales
pressure by setting a =.05. (Test the significance of sales pressure
effects with a = .05).

d How do you calculate a 95 percent individual confidence interval for ?H - ?L.

e How can I , test for differences in the effects of the levels of
sales pitch by setting a=.05. (Test
the significance of sales pitch effects with a = .05).

f How can I calculate a 95 percent (individual) confidence interval for ?.1 - ?.2.

g.  How can I calculate a 95 percent (individual) confidence interval
for mean sales when using high sales
pressure and sales pitch 1. 

Statistics:  Excel Output of a Two-Way ANOVA of the Sales Approach Data
Anova:  Two-Factor with Replication

Summary	One	Two	Total
	H
Count		3		3	6
Sum		91		90	181
Average	30.33333	30	30.16667
Variance	2.333333	4	2.566667

L
Count		3		3	6
Sum		76		72	148
Average	25.33333	24	24.66667
Variance	6.333333	1	3.466667
	
Total
Count		6		6		
Sum		167		162
Average	27.83333	27
Variance	10.96667	12.8

Anova
Source of Variation	SS		df	MS		F		p-Value	FCrit
Pressure		60.75		1	60.75		26.56098	0.00087	5.3176
Pitch			2.83333	1	2.0833		0.609756	0.457362	5.3176
Interaction		0.75		1	0.75		0.219512	0.651913	5.3176
Within			27.3333	8	3.416667
Total			120.9167	11