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One Way ANOVA
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Comparing Many Treatments
1.
Analysis of Variance gets its name from the fact that it is a statistical technique for
assessing whether the variances of several groups or populations are equal.
(a)
True
(b)
False
2.
One assumption for ANOVA is that the sample variances for each group must be the
same.
(a)
True
(b)
False
3.
Fill in the blank. One assumption for ANOVA is that the distribution of the populations
from which the samples come is the
distribution.
(a)
t
(b)
F
(c)
normal
(d)
uniform
4.
Fill in the blank. If all the assumptions for ANOVA hold, the teststatistic calculated in
ANOVA will follow the
distribution.
(a)
t
(b)
F
(c)
normal
(d)
uniform
5.
Fill in the blank. The null hypothesis for ANOVA states that all
I
means are equal to
each other. The alternative hypothesis states that
.
(a)
all
I
means are different from each other
(b)
none of the
I
means are equal to each other
(c)
not all
I
means are equal to each other
(d)
6.
Fill in the blank. The basic concept underlying ANOVA is comparing the variation
between the sample means (MSB) with the random variation of the observations within
the samples (MSW). To have more support for the conclusion that the population means
are different, the MSB should be
as compared to the MSW.
(a)
large
(b)
small
7.
Fill in the blank. An ANOVA will be used to test if the average rental costs for 1
bedroom apartments for 4 cities are equal. A random sample of 16 1bedroom
apartments from each city will be selected. Respectively, the degrees of freedom for the
numerator and denominator of the
F
statistic are _____________.
(a)
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This note was uploaded on 01/13/2012 for the course MATH 350 taught by Professor Keithemmert during the Summer '11 term at Tarleton.
 Summer '11
 KeithEmmert
 Variance

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