Which of the following will lead to a larger calculated F ratio (all else remaining constant)?
larger variances within each of the samples. |
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reduced separation of the population means. |
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larger sample sizes. |
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a larger alpha level. |
A researcher who uses the chi-square test and wants to obtain statistically significant results would like the squared differences between the observed frequencies and the expected frequencies to add up to:
zero |
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1.0 |
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as large a number as possible |
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N |
In the two-group case, the F ratio for the one-way ANOVA equals:
the square-root of the corresponding t value. |
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the square of the corresponding t value. |
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one-half of the corresponding t value. |
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twice the corresponding t value. |
In a one-way ANOVA, eta squared is:
an unbiased estimate of omega-squared. |
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the proportion of variance in your samples accounted for by group membership. |
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SS_{bet} divided by SS_{w.} |
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all of the above. |
1)
Which of the following will lead to a larger calculated F ratio (all else remaining constant)?
larger sample sizes. |
2)
A researcher who uses the chi-square test and wants to obtain statistically significant results would like the squared differences between the observed frequencies and the expected frequencies to add up to:
as large a number as possible |
3)
In the two-group case, the F ratio for the one-way ANOVA equals:
the square of the corresponding t value. |
4)
In a one-way ANOVA, eta squared is:
the proportion of variance in your samples accounted for by group membership. |
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