WEEK 10-ONE WAY ANOVA AND PAIRWISE MULTIPLE COMPARISON PROCEDURES

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8 Terms

1
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How to define One Way ANOVA?

one-way ANOVA is a test on MEANS, not variance. one-way ANOVA is a STATISTICAL INFERENCE METHOD originating from the TWO SAMPLE pooled-variance t procedure, but GENERALIZED TO MORE THAN TWO GROUPS

2
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What kind of test statistic is used in one-way ANOVA? What are the variations of code appropriate for this calculation in R?

3
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Which tools are used to calculate differences in means for one-way ANOVA? What are the associated formulas? 

Pairwise confidence intervals and hypothesis tests. 

4
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How are questions of interest turned into ANOVA statistical tests? When is appropriate? 

5
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What are the appropriate tests to carry out for one-way ANOVA statistical inference? Discuss hypotheses, test statistics, p values, and appropriate conclusions.

6
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In what ways are one-way ANOVA and the pooled-variance t test related?

7
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In what ways are pairwise multiple comparison procedures conducted? Name each one, and describe how to interpret the results.

8
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What are the assumptions of pairwise, multiple comparison inference procedures, and what are the associated consequences when an assumption is violated?