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Testing for Differences
Multiple Choice
1
Inferential statistics are used to:
A)
describe the basic properties of a variable.
B)
describe the score of one participant on every variable tested.
C)
draw conclusions about a population by examining the data from a sample.
D)
calculate the mean and standard deviation.
E)
describe the social significance of the results.
2
The four analytical steps include all but:
A)
the statistical test is applied to determine whether differences or relationships exist.
B)
determining if the difference or relationship found is the relationship or difference predicted.
C)
determining the statistical importance of the difference or relationship.
D)
determining the social and practical importance of the difference or relationship.
E)
generalizing the findings.
3
The chi-square:
A)
compares the observed frequency with the expected frequency.
B)
is computed on continuous level data.
C)
always tests for differences between two categories.
D)
tests for the relationship between two continuous level variables.
E)
can test for an interaction effect.
4
A contingency analysis is also called:
A)
two-way chi-square.
B)
two-dimensional chi-square.
C)
contingency table.
D)
all of the above.
5
The
t
-test is:
A)
restricted to one independent variable.
B)
restricted to one dependent variable.
C)
restricted to two groupings or categories of the independent variable.
D)
can test independent or dependent groups.
E)
all of the above.
6
A paired comparison
t
-test:
A)
compares scores from two independent samples.
B)
compares two matched scores on the independent variable.
C)
looks for the relationship between two continuous-level variables.
D)
looks for the relationship among three continuous-level variables.
E)
looks for differences between two categorical variables.
7
A one-tailed
t
-test tests for:
A)
a significant difference in either direction
B)
a significant relationship in a specified direction.
C)
a significant difference in a specified direction.
D)
a significant relationship in either direction.
8
When a researcher uses an ANOVA, the consumer can assume that:
A)
the independent and dependent variables are both nominal level data.
B)
the independent and dependent variables are both continuous level data.
C)
the independent variable is nominal level data and the dependent variable is continuous level data.
D)
the independent variable is continuous level data and the dependent variable is nominal level data.
E)
more than one independent variable is tested.
9
ANOVA stands for:
A)
analysis of variables.
B)
analysis of variance.
C)
administration of valuables.
D)
analysis of a variety of variables.
10
To test for the interaction effect, the statistic must be:
A)
one-dimensional chi-square
B)
two-way chi-square.
C)
two-tailed
t
-test
D)
one-way ANOVA
E)
two-way ANOVA
2001 McGraw-Hill Higher Education
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2001 McGraw-Hill Higher Education