Exam 12: One-Way Between-Groups Anova

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Post hoc tests are frequently carried out after the null hypothesis has been rejected in an ANOVA.

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According to Cohen's conventions, an R2 of 0.15 is considered to be a(n) _____ effect size.

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When the F statistic is more than the critical cutoff value, additional follow-up analyses are needed.

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Tilbe wants to compare young children's verbal test scores across three experimental conditions (different levels of instruction from low to high) and one control group (no instruction).What type of test should she use?

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If the cutoff q statistic is 4.96, with a p level of 0.05, which of these would be significant?

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In which situation would it be necessary to use a within-groups ANOVA?

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The less overlap there is among sample distributions, the:

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The proportion of variance in the dependent variable that is accounted for by the independent variable is _____.

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An ANOVA is typically used when the dependent variable is nominal with more than two groups.

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After a researcher _____ the null hypothesis, the researcher should conduct a(n) _____ to determine which means are statistically significantly different from each other.

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As the variability of between-groups means increases, the F statistic increases.

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R2, the effect size for ANOVA, is calculated as a ratio of:

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The critical cutoffs for a two-tailed Tukey HSD test comparing two group means with 12 within-groups degrees of freedom are:

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An ANOVA is typically used when the independent variable is nominal with more than two groups.

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Post hoc tests are frequently carried out before the null hypothesis has been rejected in an ANOVA.

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When the null hypothesis is true, the F ratio for analysis of variance is expected, on average, to be 0.

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For an F distribution with 3 degrees of freedom between and 32 degrees of freedom within, how many groups are being compared and how many participants are in each group, assuming equal numbers of participants per group?

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The z, t, and F distributions have something in common-the denominator of the test statistic:

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The assumptions of ANOVA are that samples are selected:

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Populations that have different variances are referred to as heteroscedastic.

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