(a)
Provide the basic purpose of ANOVA.
Delineate how ANOVA avoids high risk due to multiple type I errors.
(b)
Provide the basic assumption for ANOVA.
(c)
Provide the null and alternate hypotheses in an ANOVA test.
State whether it is possible to identify the population means that differ from the other when the conclusion is to reject the null hypothesis.
(d)
Define F-distribution.
Delineate how the degrees of freedom for the numerator and denominator are determined.
(e)
Define what it means by a summary table of ANOVA results.
Discuss the main components of the table.
Explain how the final decisions are made in ANOVA.
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