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1
One parametric technique commonly used for testing statistical significance of quantitative data is the t-test for means.
A)TRUE
B)FALSE
2
The most common parametric technique for analyzing significance of categorical data is the t-test for r.
A)TRUE
B)FALSE
3
A null hypothesis specifies the nature of the relationship the researcher thinks exists in the population.
A)TRUE
B)FALSE
4
The research hypothesis typically specifies that there is no relationship in the population.
A)TRUE
B)FALSE
5
The chi-square test is a method for analyzing the statistical significance of a relationship between two categorical variables.
A)TRUE
B)FALSE
6
The Mann-Whitney U test is a non-parametric method used when a researcher wants to compare two related (as opposed to independent) samples.
A)TRUE
B)FALSE
7
The t-test for means is a nonparametric test used when a researcher wishes to analyze ranked data.
A)TRUE
B)FALSE
8
The contingency coefficient is a descriptive statistic indicating the degree of relationship that exists between two categorical variables.
A)TRUE
B)FALSE
9
The test involving the use of probabilities based on both sides of a sampling distribution because the research hypothesis is a nondirectional hypothesis is called a two-tailed test.
A)TRUE
B)FALSE
10
A statistical technique that makes few, if any, assumptions about the nature of the population from which the samples in the study were taken describes a parametric statistical technique.
A)TRUE
B)FALSE





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