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NSG 522 MIDTERM (BETTER) EXAM LATEST UPDATED
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NSG 522 MIDTERM (BETTER) EXAMLATEST UPDATED
Parametric test for comparing ≥3 dependent groups: repeated measures
ANOVA.
The Friedman test is a nonparametric test used to compare groups with at least
three dependent variables.
To compare ≥3 independent groups, use one-way ANOVA.
A nonparametric test for comparing at least three independent groups. - Answer
Kruskal-Wallis ANOVA.
Parametric test for comparing two dependent groups. - ANSWER dependent t-
test (paired t-test).
Nonparametric test for comparing two dependent groups. - ANSWER Wilcoxon
signed the rank test.
Parametric test for comparing two independent groups. - ANSWER:
Independent t-test (student or unpaired)
Nonparametric test for comparing two independent groups. ANSWER Man
n-Whitney test
The chi-square test is used to compare two independent nominal variables.
, The McNemar test compares two dependent, dichotomous, nominal variables.
The Fisher exact test is used to compare two independent, dichotomous,
nominal variables.
R-square (R^2) is the percentage of the dependent variable's variation explained
by the regression model.
- For example, an R-square of 0.74 indicates that the variables in your
regression model account for 74% of the variance in the outcome of interest.
Correlation coefficient strength interpretations - ANSWER Varies between 0
and 1.0.
- may be favourable or negative.
- <.30 indicates weakness.
- 0.3 to 0.5 is moderate.
- >.5 indicates strong
Parametric correlation coefficient test - ANSWER: Pearson correlation
Nonparametric correlation coefficient test - ANSWER Spearman correlation
Utilize parametric techniques when - ANSWER: interval or ratio level data.
AND
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