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True/False
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1
The use of both scatterplots and correlation coefficients is recommended when relating variables involving categorical data within a single group.
A)TRUE
B)FALSE
2
Both parametric and nonparametric techniques should be used to analyze data rather than either one alone.
A)TRUE
B)FALSE
3
The magnitude of relationships can be best evaluated using tests for statistical significance.
A)TRUE
B)FALSE
4
Frequency polygons are used to show the relationship between categorical data.
A)TRUE
B)FALSE
5
The construction of crossbreak tables and the calculation of contingency coefficients are recommended when comparing quantitative data involving two or more groups or when examining relationships among quantitative data within one group.
A)TRUE
B)FALSE
6
Two displays for analyzing the relationship between two categorical variables are chi square and pie charts.
A)TRUE
B)FALSE
7
It is suggested that researcher use both parametric and nonparametric techniques to analyze data for the following reasons: When the results are consistent, interpretation will be strengthened. When the results are not consistent, one can discuss the possible reasons.
A)TRUE
B)FALSE
8
The construction of frequency polygons, the use of data on the means of known groups, the calculation of effect sizes, are recommended when comparing categorical data from two or more groups.
A)TRUE
B)FALSE
9
The importance of a relationship is best evaluated using the judgment of experts.
A)TRUE
B)FALSE
10
The probabilities used for hypothesis testing are accurate for making generalizations to a population if the sample size is large.
A)TRUE
B)FALSE







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