University Hospital has over 8,000 employees. In the medical field, employee burnout is a large concern. Suppose a hospital administrator gave a survey to all employees regarding burnout and each person's responses were summarized into a single score between 0 and 100 (0 being no burnout, 100 being high levels of burnout). If the administrator wanted to compare the burnout rates between all of the different types of employees (attending physicians, residents, nurses, technicians, etc.), what test should be used?

Break the situation down into the components for choosing a statistical test.

• dependent variable?
• dependent variable?
• independent variable(s)?
• type(s) of independent variable(s)?
• What are other things that could affect the statistical analysis?
• Which of the following statistical analysis would you use?

One-sample t-test

Paired t-test

Two-sample t-test

ANOVA

Chi-square test

Simple linear regression

General linear model

Logistic regression

Wilcoxon rank-sum test

Kruskal-Wallis test

Spearman correlation

Fisher's exact test

Log-rank test

Cox proportional hazards model