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. In an ANOVA test how is the total variation in the sample divided?

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. With one-way ANOVA tests, the total variation captures what?

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. What is the formula for the total sum of squares?

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. Which of the following is not part of the formula for calculating the sum of squares within a group?

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. Which of the following is not part of the formula for calculating the sum of squares within a group?

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. What does an F-statistic and F-distribution tell us?

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. The F-statistic is also known as what?

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. Which of the following is not true of calculating the F-statistic?

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. If the sum of squares between groups is 918.8 and the degrees of freedom for between groups is 2, then what is the F-statistic when the sum of squares within group is equal to 1094 with degrees of freedom within the group of 8?

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. Using a critical value of 4.46, interpret your answer from the previous question: What does it mean?

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. What does the p-value with each F-statistic show?

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. When the F-statistic for a hypothetical example is lower than the critical value, what does this mean?

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. If the sum of squares between groups is 27,107 and the degrees of freedom for between groups is 2, then what is the F-statistic when the sum of squares within groups is equal to 2,242,076 with degrees of freedom within the group of 19,199?

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. Using a critical value of 3, interpret your answer from the previous question: What does it mean?

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. If a categorical variable in an LSD test is divided into three groups, then how many pairs of relationships must be tested?

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. If the sum of squares between groups is 32,714 and the degrees of freedom for between groups is 4, then what is the F-statistic when the sum of squares within group is equal to 2,655,448 with degrees of freedom within the group of 22,846?

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. If the sum of squares between groups is 44,816 and the degrees of freedom for between groups is 8, then what is the F-statistic when the sum of squares within group is equal to 1,788,220 with degrees of freedom within the group of 15,555?

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. Which of the following statements about t-tests of independent means and one-way ANOVA tests is not true?

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. When should t-tests and ANOVA not be used?

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. If the sum of squares between groups is 4,344 and the degrees of freedom for between groups is 2, then what is the F-statistic when the sum of squares within groups is equal to 17,880 with degrees of freedom within the group of 255?

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. When a categorical independent variable has more than two attributes researchers must utilize an ANOVA table.

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. With one-way ANOVA tests, the variation between the groups captures how far the cases in each group are spread out around their group mean, whereas the variation within the groups captures the distance between the group means.

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. The ANOVA test statistic is a ratio that compares the between group variation to the within group variation.

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. One-way ANOVA tests rely on assessing the amount of variation within a sample.

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. The calculation of the between group sum of squares relies on a different logic than the calculation for the within group sum of squares.

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. The calculation of the total sum of squares is almost identical to the calculation of the within group sum of squares with the difference being the researcher finds the deviation of each case from the overall mean, instead of the group mean.

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. The F-statistic accounts for the number of groups being compared and for the sample size by dividing each sum of squares by its degrees of freedom.

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. The degrees of freedom of the within group sum of squares does not account for the sample size.

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. The F-statistic shows whether the between group variation is larger or smaller than the within group variation, after accounting for the sample size and the number of groups.

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. The F-statistic is interpreted in relation to a t-distribution.

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. It is not possible to obtain a negative F-statistic because it's not possible to have negative variation.

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. The area under the curve beyond the F-statistic on an F-distribution shows the probability of randomly selecting a sample with the observed ratio of between group variation to within group variation if the group means are equal in the population.

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. Only the between group sum of squares and the within group sum of squares are needed to calculate the F-statistic.

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. ANOVA tests do not rely on pooling together the within group variation and all the between group variation.

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. One of the most common post-hoc tests that researchers can use in conjunction with the ANOVA test is the least significant differences (LSD) test.

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. A limitation of the LSD post-hoc test is that it uses a version of the t-test of independent means, which assumes the group variances are equal in the population.

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. All post-hoc tests assume that the group variances are equal in the population.

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. Error-bar graphs help contextualize the results of one-way ANOVA and post-hoc tests.

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. Two-way ANOVA tests account for how the two independent variables might combine or interact to influence the independent variable.

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. T-tests of independent means and one-way ANOVA tests are both used to assess the reliability of a relationship between a categorical independent variable and a ratio-level dependent variable.

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