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Return to Explorations: Conducting Empirical Research in Canadian Political Science 4e Student Resources
Chapter 13 Self-Grading Quizzes
Quantitative Analysis: Inferential Statistics and Multivariate Analysis
Quiz Content
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not completed
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Which of these is a characteristic of a normal distribution?
It is bilaterally symmetrical.
correct
incorrect
The tails of the curve meet the horizontal axis at 1.
correct
incorrect
The area is equal to 2.
correct
incorrect
Almost call cases fall within two standard deviations of the mean.
correct
incorrect
*
not completed
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The central limit theorem states that the distribution of the means of random samples taken from a population approaches the normal distribution as _________.
the population size increases.
correct
incorrect
the sample size decreases.
correct
incorrect
the sample size increases.
correct
incorrect
the deviation decreases.
correct
incorrect
*
not completed
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The _____________ is the probability that a sample statistic is an accurate reflection of the population parameter, while the _____________ is the range in which the population parameter is likely to fall.
margin of error; residual variance
correct
incorrect
confidence interval; margin of error
correct
incorrect
confidence interval; confidence level
correct
incorrect
confidence level; confidence interval
correct
incorrect
*
not completed
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The ______ is a parametric test.
chi-square
correct
incorrect
t
-test for differences between means
correct
incorrect
two-tailed test
correct
incorrect
Mann-Whitney
U
-test
correct
incorrect
*
not completed
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When examining the relationship between a nominal variable to a normally distributed interval-ratio variable, you would use _____________.
chi-square
correct
incorrect
ANOVA
correct
incorrect
A t-test
correct
incorrect
Mann-Whitney
U
-test
correct
incorrect
*
not completed
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Before calculating chi-square, we must construct a ______.
table of variables
correct
incorrect
content table
correct
incorrect
contingency table
correct
incorrect
confidence level table
correct
incorrect
*
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For the chi-square, t-test, and F-test, determining the critical value requires calculating the ___________.
contingency table
correct
incorrect
degrees of freedom
correct
incorrect
number of variables
correct
incorrect
difference of means
correct
incorrect
*
not completed
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Multiple regression analysis is used when ______.
there is not enough data to carry out simple linear regression analysis
correct
incorrect
the dependent variable depends on more than one independent variable
correct
incorrect
one or more of the assumptions of simple linear regression are not correct
correct
incorrect
the relationship between the dependent variable and the independent variable cannot be described by a linear function
correct
incorrect
*
not completed
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The following is NOT a major assumption of multiple regression analysis: ______.
The independent variables are independent of one another.
correct
incorrect
The regression line exhibits a constant error across the values of the independent variables.
correct
incorrect
The independent variables are dependent on one another.
correct
incorrect
The data are measured at the interval level.
correct
incorrect
*
not completed
.
Logistic regression is used rather than multivariate regression when ____________.
there are multiple independent variables.
correct
incorrect
the independent variable is ordinal.
correct
incorrect
the dependent variable is interval-ratio.
correct
incorrect
the dependent variable is not interval-ratio.
correct
incorrect
*
not completed
.
Many real world variables are distributed according to the normal distribution.
True
correct
incorrect
False
correct
incorrect
*
not completed
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Only statistically significant results are ever substantively significant.
True
correct
incorrect
False
correct
incorrect
*
not completed
.
Chi-square tests the independence of two variables by assessing the likelihood that the relationship observed in the sample is due to chance.
True
correct
incorrect
False
correct
incorrect
*
not completed
.
The difference of means test compares rankings, while the Mann-Whitney
U
-test compares means.
True
correct
incorrect
False
correct
incorrect
*
not completed
.
One implication of the central-limit theorem is that, as sample size decreases, the distribution of cases more closely approximates a normal curve.
True
correct
incorrect
False
correct
incorrect
*
not completed
.
If your hypothesis implies that you are interested only in one direction of difference between your samples, then you should use a two-tailed test.
True
correct
incorrect
False
correct
incorrect
*
not completed
.
A dummy variable typically is characterized by the presence and the absence of a quality.
True
correct
incorrect
False
correct
incorrect
*
not completed
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Multicollinearity refers to the existence of a relationship between a study's independent variables, which generally violates the linear regression assumption that independent variables should be unrelated to one another.
True
correct
incorrect
False
correct
incorrect
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