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NSG 522 MIDTERM (BETTER) EXAM LATEST UPDATED

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  • Course
  • NSG 522
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  • NSG 522

NSG 522 MIDTERM (BETTER) EXAM LATEST UPDATED...

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  • September 30, 2024
  • 9
  • 2024/2025
  • Exam (elaborations)
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  • NSG 522
  • NSG 522
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NSG 522 MIDTERM (BETTER) EXAM
LATEST 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.

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