QUESTION 1

1. When you perform an Analysis of Variance, what distribution are you using for the test statistic?

a.	t
b.	F
c.	Chi squared
d.	Normal

QUESTION 2

1. Perform an ANOVA. What is the p-value?

Flow	1	2	3	4	5	6
125	2.7	4.6	2.6	3	3.2	3.8
160	4.9	4.6	5	4.2	3.6	4.2
200	4.6	3.4	2.9	3.5	4.1	5.1

a.	0.042
b.	0.012
c.	0.056
d.	0.053

QUESTION 3

1. If you use = 0.01, is this analysis significant?

a.	Yes
b.	No

QUESTION 4

1. What does your answer from Q3 indicate?

a.	There is no statistically significant difference between any of the means at = 0.01
b.	There is a statistically significant difference between at least 2 means at = 0.01
c.	There is a statistically significant difference between all the means at = 0.01
d.	There is no statistically significant difference between all the means at = 0.10

QUESTION 5

1. Perform a residual analysis on the data. Does the residuals indicate any problems with the underlying assumptions?

a.	The residuals are not used for this type of assumption
b.	The residuals are not able to be calculated
c.	The residuals are not acceptable
d.	The residuals are acceptable

QUESTION 6

1. Why are post-hoc tests needed with ANOVA?

a.	Post hoc tests tell you if the ANOVA is significant
b.	Post hoc tests tell you whether your data is organized the right way
c.	An ANOVA tells you whether at least one set of means is significantly different, but it doesn't tell you which means are different, so you do a post-hoc test to determine which means are different
d.	An ANOVA tells you whether all the means are significantly different, but it doesn't tell you the significance, so the post-hoc test tells you whether the entire analysis is significant