Once the authors found \"significant\" differences using the one-way ANOVA, why

Question

Once the authors found "significant" differences using the one-way ANOVA, why were additional data analysis methods used to analyze each of the six hypotheses? Which of the following statements answer this question? A. The ANOVA hypothesis test for the deep approach to learning tests the hypothesis that H_0: mu_BDL = muXDL = mu_MDL against the alternative hypothesis that there is evidence that at least one population's mean differs. In order to determine whether there is evidence to support each of the individual hypothesized relationships, a test for the difference between each of the two means must be conducted. B The ANOVA hypothesis test is always a two-tailed test but the test for the difference between the two means can be a one-tailed test, which is what each hypothesis specifies. C. Both A and B. D. Neither A or B.

Explanation / Answer

Answer A

If the ANOVA is significant, we can use the post hoc tests to determine which specific groups differ significantly from one another.

Related Questions

Navigate

• Browse (All)
• Browse O
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.