How to Design and Evaluate Research in Education, 5/e

Jack R. Fraenkel, San Francisco State University
Norman E. Wallen, San Francisco State University

Inferential Statistics

True/False


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 used when a researcher wants to analyze 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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