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Discuss How Tracking Creates Differences Among Students Within the Same

question 36

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Discuss how tracking creates differences among students within the same schools that may be significantly greater than differences between schools.

Comprehend the calculation of F-ratio for main effects and interaction effects in a factorial ANOVA.
Apply the decision rules for rejecting or not rejecting the null hypothesis based on F-ratio values and significance levels.
Grasp the impact of sample size and level numbers on the degrees of freedom in factorial designs.
Appreciate the importance of hypothesis testing in analyzing factorial ANOVA results.

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