A senior analyst working for Ameritrade has reviewed purchases his customers have made over the last six months. He has categorized the mutual funds purchased into eight categories: Aggressive Growth (AG) - Growth (G) - Growth-Income (G-I) - Income Funds (IF) - International (I) - Asset Allocation (AA) - Precious Metal (PM) - Bond (B). The percentage gains (%) accrued by 3 randomly selected customers (C1, C2 and C3) in each group are as follows:

A senior analyst working for Ameritrade has reviewed purchases his customers have made over the last six months. He has categorized the mutual funds purchased into eight categories: Aggressive Growth (AG) - Growth (G) - Growth-Income (G-I) - Income Funds (IF) - International (I) - Asset Allocation (AA) - Precious Metal (PM) - Bond (B).
The percentage gains (%) accrued by 3 randomly selected customers (C1, C2 and C3) in each group are as follows:
Mutual Fund	AG	G	G-I	IF	I	AA	PM	B
C1	6	7	5	1	14	-3	5	-1
C2	7	-2	6	0	13	7	7	3
C3	12	0	2	6	10	7	5	2
1. Develop the appropriate ANOVA table to determine if there is a difference in the average percentage gains accrued by his customers among the mutual fund types. Use a significance level of 0.05.
2. Use the Tukey-Kramer procedure to determine which mutual fund type has the highest average percentage gain. Use an experiment-wide error rate of 0.05.