I actually have two problems - the first I have attempted to figure out, but not sure I have it correcct. Still don't understand how to interpret the answer I get.

A Stockbrocker at Critical Securities reported that the mean rate of return on a sample of 10 oil stocks was 12.6 percent with a satnadard deviation of 3.9 percent. The mean rate of return on a sample of 8 utility stocks was 10.9 percent with a standard deviation of 3.5 percent. At the .05 significance level, can we conclude that there is more variation in the oil stocks?

I have F=3.9^/3.5^ =1.2416

n1 - 1, n2 - 1 = 9,7

Critical F value =3.667

Reject if F 3.667 ???

1.2416 < 3.667 so fail to reject?

Did I calculate correctly - and how does that result translate to answer is there more variation?

This next problem - need help on set up and interpretation.

The following is sample information. Test the hypothesis at the .05 significance level that the treatment means are equal.

Treatment 1

9,7,11,9,12,10

Treatment 2

13,20,14,13,

Treatment 3

10,9,15,14,15,

a.State the null hypothesis and the alternate hypotheses.

b.What is the decision rule?

c.Compute SST, SSE, and SS total.

d.Complete an ANOVA table.

e.State your decision regarding the null hypothesis.