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Student t-test
68%
2395/3506
Analysis of Variance (ANOVA)
12%
407/3506
Fisher exact test
4%
124/3506
Kruskal-Wallis test
1%
28/3506
Chi-square test
15%
526/3506
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A Student-test would be the most appropriate test for analyzing means of parametric (continuous) variables that are normally distributed between two groups. Data can be characterized as non-parametric (categorical, ordinal) or parametric (continuous). Parametric data, such as age, are observations for which difference between the numbers have meaning on a numerical scale. Non-parametric data are observations which can be expressed as a dichotomous (yes or no) outcome such as gender. Kocher and Zurakowski present a Level 5 review of epidemiology and biostatistics. The authors state that univariate or bivariate analysis, such as the student t-test, is used to assess the relationship of a single independent and a single dependent variable. Incorrect Answers: Answer 2: Analysis of variance is used to evaluate means of parametric data between three or more groups when the data is normally distributed Answer 3: Fisher exact test is used to compare proportions for non-parametric data when the expected frequency is small (less than five per group) Answer 4: Kruskal-Wallis test is used to evaluate medians of three or more groups when the data are not normally distributed. Answer 5: Chi-square test is used to compare proportions for categorical or ordinal data (non-parametric)
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