1. In a study measuring the impact of sleep quality on medication adherence among nurses, what statistical test would be most appropriate to determine if there is a significant difference in adherence between nurses with poor and good sleep quality? - A) T-test - B) ANOVA - C) Chi-square test - D) Pearson correlation Answer: A) T-test Rationale: A T-test is suitable for comparing the means of two independent groups, in this case, nurses with poor vs. good sleep quality. 2. When evaluating the correlation between patient satisfaction scores and nurse-patient ratios, which of the following would best describe a strong, positive correlation? - A) r = -0.85 - B) r = 0.15 - C) r = 0.85 - D) r = -0.15 Answer: C) r = 0.85 Rationale: The correlation coefficient (r) ranges from -1 to 1. A coefficient close to 1 indicates a strong positive correlation. 3. In a regression analysis studying the factors affecting patient readmission rates, which variable type would nurse staffing levels be considered? - A) Dependent variable - B) Independent variable - C) Confounding variable - D) None of the above Answer: B) Independent variable Rationale: Nurse staffing levels are considered an independent variable as they are being studied to see if they affect the dependent variable, patient readmission rates. 4. A group of researchers is using a chi-square test to examine the relationship between nursing shift length and the incidence of medical