ISDS 2000 – SAMPLE FINAL0.
1.
In a one factor ANOVA (analysis of variance), if the computed F statistic
exceeds the critical F value, we will
a.
reject H
o
because there is evidence that all of the means are
different
b.
reject H
o
because there is evidence of a treatment effect
c.
not reject H
o
because there is no evidence of a difference in the
means
d.
not reject H
o
because a mistake has been made.
2.
The analysis of variance procedure is a statistical approach for
determining whether or not
a.
means of two samples are equal
b. means of two or more samples are equal
c.
means of two or more variances are equal
d. means of two or more populations are equal
3.
Which of the following is a required assumption for the analysis of
variance?
a.
the means associated with the random variable must be equal for
each population
b. the random variable of interest for each population has a normal
distribution
c.
the variance associated with the random variable of interest must
be independent for each population
d. All of the above assumptions are required
4.
An experimental design that allows statistical conclusions about two or
more factors is known as a
a.
factorial design
b. randomized block design
c.
completely randomized design
d. randomized design
e.
none of the above
5.
An ANOVA procedure is applied to data obtained from six samples
where each sample contains 20 observations.
The numerator and
denominator degrees of freedom for the critical F value are
a.
6 and 20
c.
5 and 115
e.
none of
b.
5 and 20
d.
6 and 120
the above
Revised 01/07
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A twofactor ANOVA is conducted involving three levels of factor A and
four levels of factor B with three replicates per cell.
The degrees of
freedom for the error term are
a.
10
c.
24
e.
none of
b. 12
d.
36
the above
7.
Which of the following statements is false?
a.
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 Spring '08
 Nunnery
 Null hypothesis, C. D., a. b. c.

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