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1
Interval scale variables have no quantitative properties.
A)True
B)False
2
Ordinal scales allow for more sophisticated statistical treatments than do interval scales.
A)True
B)False
3
Pie charts are particularly useful when representing nominal scale information.
A)True
B)False
4
The mean is an appropriate indicator of central tendency for all four scales of measurement.
A)True
B)False
5
The standard deviation of a set of scores is large when most people have similar scores close to the mean.
A)True
B)False
6
The Pearson Product-Moment correlation coefficient is designed to detect only linear relationships.
A)True
B)False
7
The criterion variable refers to future behavior.
A)True
B)False
8
The partial correlation technique is used when considering the results of experimental research.
A)True
B)False
9
A structural model is an expected pattern of relationships among a set of variables.
A)True
B)False
10
Structural equation modeling allows researchers to compare competing models of non-experimental data sets.
A)True
B)False
11
Interval scales have an absolute zero point.
A)True
B)False
12
The horizontal axis of bar graphs shows the number of people who choose each response.
A)True
B)False
13
Histograms use bars to display a frequency distribution for qualitative variables.
A)True
B)False
14
Researchers can exaggerate the distance between points on the measurement scale of bar graphs to make the results seem more impressive than they really are.
A)True
B)False
15
The Pearson product-moment correlation coefficient is used only when both variables have interval scale properties.
A)True
B)False







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