Exam (elaborations)
RM II Ch 27 and 28 (1).
RM II Ch 27 and 28 (1).
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RM II Ch 27 and 28Parametric Assumptions - CORRECT ANSWER--Samples randomly drawn from
population w/ normal distribution
-Equal Variance
-Continuous data (I or R)
Non-parametric statistics - CORRECT ANSWER-Appropriate for analysis of nominal
or ordinal data
non-parametric tests _______ for group comparisons without ... - CORRECT
ANSWER--Hypothesis
- normality or variance assumptions
Non-parametric test are often used with - CORRECT ANSWER-small samples
(distribution free)
For non-parametric tests, data is reduced to - CORRECT ANSWER-ranks
Generally, parametric tests are ______ powerful than non-parametric - CORRECT
ANSWER-parametric are more powerful
You can increase power for nonparametric tests by - CORRECT
ANSWER-increasing sample size
Rule of thumb to estimate sample size for a nonparametric test: - CORRECT
ANSWER-Compute sample for parametric and add 15%
Ranking scores has two rules - CORRECT ANSWER-- Rank smallest to largest (neg
is small)
- Ties get average of ranks (average position number)
Non-parametric tests for independent samples - CORRECT ANSWER--Mann
Whitney U test
(Corresponds to an independent t-test)
-Kruskal Wallis ANOVA
(One way ANOVA, multiple comparison procedures may be applied)
Null hypothesis in relation to ranked scores for groups - CORRECT ANSWER-High
and low ranks will be equally distributed
Assumptions of mann-whitney U - CORRECT ANSWER-Ordinal data, at least
Two independent groups
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