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Based on the calculated sum of squares and degrees of freedom, what specific value should the researcher compute next to estimate the population variance based on the differences among the lighting condition sample means, and what role will this value play in the final test statistic?
Case context: A researcher is conducting a one-way ANOVA to test the effect of three different lighting conditions on reading speed. The researcher calculates the sum of squares between groups and determines the between-groups degrees of freedom.
Question: Based on the calculated sum of squares and degrees of freedom, what specific value should the researcher compute next to estimate the population variance based on the differences among the lighting condition sample means, and what role will this value play in the final test statistic?
Sample answer: The researcher should compute the mean squares between groups (). This value will serve as the numerator for the statistic in the analysis of variance.
Key points:
- The required value is the mean squares between groups ().
- It is computed by dividing the sum of squares between groups by the between-groups degrees of freedom.
- It serves as the numerator for the statistic.
Rubric: Full credit is given for diagnosing that the next step is computing the mean squares between groups () and identifying its role as the numerator for the statistic.
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Research Methods in Psychology - 4th American Edition @ KPU
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