Multiple choice questions
1. _____ is
a procedure for deriving a mathematical relationship, in the form of an
equation between a single metric dependent variable and a single metric
independent variable.
a. chi-square
b. part
correlation
c. multiple
regression
d. bivariate
regression
2. _______
are hypothesis testing procedures that assume that the variables of interest
are measured on at least an interval scale.
a. parameter
tests
b. parametric
tests
c. nonparametric
tests
d. none of
the above
3. The
______ is a symmetric bell-shaped distribution that is useful for small
(n<30) testing.
a. t
distribution
b. frequency
distribution
c. chi-square
distribution
d. F
distribution
4. The
degrees of freedom for the t statistic to test hypothesis about one mean are
_____
a. n
b. n – 1
c. n1 + n2
d. n1 + n2
-2
5. The _____
is a statistical test of the equality of the variance of two populations.
a. z test
b. t test
c. paired
sample test
d. F test
6. The total
variation in y is _____.
a. SSy
b. SSwithin
c. SSbetween
d. SSy
7. Which of
the following statements in not correct about the alternative hypothesis
a. There is
not way to determine whether the alternative hypothesis is true.
b. The
alternative hypothesis represents the conclusion for which the evidence is
sought.
c. The
alternative hypothesis is the opposite of the null hypothesis.
d. None of
the statements are correct.
8. Hypothesis
tests can be used to relate to:
a. tests of
strengths
b. tests of
association
c. tests of
differences
d. b and c
are correct
9. Also know
as SSerror, _____ is the variation in Y due to the variation within each of the
categories of X. This variation is not accounted for by X.
a. SSy
b. SSwithin
c. SSbetween
d. SSy
10. How
consumers’ intentions to buy a brand vary with different levels of price and
different levels of distribution is best analyzed via _____.
a. n-way
ANOVA
b. one-way
ANOVA
c. ANCOVA
d. Regression
11. Is a
statistical procedure for analyzing associative relationships between a metric
dependent variable and one or more independent variables.
a. regression
b. partial
correlation coefficient
c. ANOVA
d. Product
movement correlation
12. The
degrees of freedom for the t statistic to test hypothesis about two independent
samples is __________
a. n
b. n – 1
c. n1 + n2
d. n1 + n2
-2
13. Univariate
techniques can be classified based on _____.
a. whether
the data are metric or nonmetric
b. whether
one two, or more than two samples are involved
c. whether
interdependence techniques or dependence techniques are to be used
d. a and b
are correct
14. A
hypothesis test produces a t statistic of t = 2.30. If the researcher is using
a two-tailed test with alpha = .05, how large does the sample have to be to
reject the null hypothesis?
A. at least n = 8
B. at least n = 9
C. at least n =10
D. at least n = 11
15. _____
occurs when the sample results lead to the rejection of the null hypothesis
that is in fact true.
a. Type I
error
b. Two-tailed
error
c. Type II
error
d. One
-tailed error
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