Exam 16: Analysis of Variance and Covariance

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If you are estimating η2, you are at which step in the procedure for conducting one-way analysis of variance?

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The total variation in y is ________.

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________ are contrasts that enable the researcher to construct generalized confidence intervals that can be used to make pairwise comparisons of all treatment means.

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SSbetween is the portion of the sum of squares in Y related to the independent variable or factor X.

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Modest departures from the assumptions in analysis of variance do not seriously affect the validity of the analysis.

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Which statement is not true concerning interactions resulting from ANOVA?

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Important issues involved in the interpretation of ANOVA results include all of the following except ________.

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Which statement is correct concerning one-way ANOVA?

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In one-way ANOVA, separation of the variation observed in the dependent variable into the variation due to the independent variables plus the variation due to error is called ________.

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The value of η2 varies between 0 and 1.

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Omega squared, ω2, indicates what proportion of the variation in the dependent variable is related to a particular independent variable or factor.

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The total variation in Y, denoted by SSy, can be decomposed into which two components?

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When using SPSS Windows, for nonmetric analysis of variance, including the k-sample median test and Kruskal-Wallis one way analysis of variance, the program ________ should be used.

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The Kruskal-Wallis one-way analysis of variance also examines the difference in medians.

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Which F test is used to test the significance of the overall effect?

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The null hypothesis for ANOVA typically is that all ________.

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List the procedure for conducting one-way analysis of variance.

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A statistical technique for examining the differences among means for two or more populations is called ________.

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Contrasts are used in ANOVA to determine which of the means are statistically different.

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In one-way analysis of variance, under the null hypothesis, SSx and SSerror come from different sources of variation.

(True/False)
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