CPHQ Domain 4: Health Data Analytics Welcome to your CPHQ Domain 4: Health Data Analytics 1. CPHQ: Health Data Analytics A healthcare analyst is assessing a dataset with the distribution of patient ages across several facilities. If the data exhibits a strong positive skew, which of the following is true? The mode is greater than the mean The median is greater than the mean The mean is greater than the median The mode is greater than the median None 2. CPHQ: Health Data Analytics When analyzing the effectiveness of a new drug, a researcher notices that the confidence interval for the drug's efficacy does not include the null value. What does this indicate about the drug's effectiveness? The drug is effective The drug is not effective The sample size is too small The study design is invalid None 3. CPHQ: Health Data Analytics In a regression analysis of hospital readmission rates, an analyst finds a p-value of 0.02 for a specific predictor. What does this p-value suggest? The predictor is likely statistically significant The predictor is not statistically significant The sample size is too large The predictor is unrelated to readmission rates None 4. CPHQ: Health Data Analytics When reviewing a quality improvement initiative's impact on patient satisfaction, a data analyst finds a Type I error. What does this suggest about the initiative's reported effectiveness? The initiative's effectiveness might have been overestimated The initiative's effectiveness might have been underestimated The initiative has no effect The initiative's effect is not statistically significant None 5. CPHQ: Health Data Analytics A healthcare quality analyst is determining which variables significantly affect patient outcomes. When considering multiple predictors, what technique should the analyst use to avoid collinearity issues? Principal Component Analysis 'PCA' Random sampling Linear regression Chi-square test None 6. CPHQ: Health Data Analytics A hospital is reviewing data on patient discharge times and wants to identify outliers. Which statistical method is most appropriate to detect outliers in this context? Interquartile Range (IQR) T-test Linear regression Correlation analysis None 7. CPHQ: Health Data Analytics A healthcare analyst is examining the relationship between a categorical variable and a continuous variable. Which statistical test should be used to evaluate this relationship? ANOVA Chi-square test Pearson's correlation Linear regression None 8. CPHQ: Health Data Analytics A health quality analyst wants to compare patient satisfaction scores before and after implementing a new program within the same group of patients. Which statistical test is most appropriate for this comparison? Paired t-test Independent t-test ANOVA Chi-square test None 9. CPHQ: Health Data Analytics A healthcare analyst is conducting a time-series analysis on patient admission rates. What technique can the analyst use to identify trends or patterns over time? Moving average Chi-square test Independent t-test Logistic regression None 10. CPHQ: Health Data Analytics A quality improvement team wants to determine if there's a significant relationship between patient age and hospital readmission rates. What statistical test would best help answer this question? Pearson's correlation Chi-square test ANOVA Logistic regression None 11. CPHQ: Health Data Analytics A healthcare quality analyst wants to predict patient mortality rates based on several predictor variables, including age, comorbidities, and gender. What statistical model is best suited for this analysis? Logistic regression Linear regression ANOVA Chi-square test None 12. CPHQ: Health Data Analytics A hospital is examining the relationship between patient satisfaction and the number of nurse-patient interactions. The data is non-normally distributed, with outliers present. Which statistical test is most appropriate to analyze this data? Spearman's rank correlation Pearson's correlation Linear regression ANOVA None 13. CPHQ: Health Data Analytics A healthcare quality analyst is analyzing data to determine the frequency of readmissions among different age groups. What statistical test would best determine if there's a significant difference among the groups? Chi-square test Independent t-test Pearson's correlation Linear regression None 14. CPHQ: Health Data Analytics A healthcare system wants to identify the most common types of errors in medical records. What data analysis technique is most appropriate to categorize these errors and determine their frequency? Content analysis Logistic regression ANOVA Pearson's correlation None 15. CPHQ: Health Data Analytics A healthcare quality analyst is studying the correlation between patient satisfaction scores and healthcare costs. The analyst finds a correlation coefficient of -0.65. What does this result suggest? As satisfaction increases, costs tend to decrease As satisfaction decreases, costs tend to decrease As satisfaction increases, costs tend to increase There is no correlation between satisfaction and costs None 16. CPHQ: Health Data Analytics A healthcare quality team wants to assess the effect of a new training program on staff performance over time. They plan to take measurements at regular intervals. What statistical technique is most suitable to analyze the data collected? Time-series analysis Pearson's correlation Logistic regression Independent t-test None 17. CPHQ: Health Data Analytics A hospital's quality improvement team is reviewing patient satisfaction data to determine if there's a significant relationship between hospital location and patient satisfaction. What statistical test should be used to determine this relationship? Chi-square test ANOVA Pearson's correlation Spearman's rank correlation None 18. CPHQ: Health Data Analytics A healthcare analyst wants to determine if the distribution of patient lengths of stay in a hospital is normal. What statistical test is most appropriate to test for normality? Shapiro-Wilk test Chi-square test Pearson's correlation Logistic regression None 19. CPHQ: Health Data Analytics A healthcare quality team is comparing patient satisfaction scores across three different hospitals. Which statistical test is most appropriate for this analysis? ANOVA Independent t-test Pearson's correlation Chi-square test None 20. CPHQ: Health Data Analytics A healthcare analyst wants to identify seasonal patterns in emergency room visits. Which statistical technique is most appropriate for this analysis? Time-series analysis Chi-square test ANOVA Logistic regression None 21. CPHQ: Health Data Analytics A healthcare quality analyst wants to understand if there's a statistically significant difference in medication errors before and after the implementation of a new electronic health record system. What statistical test is most suitable for this analysis? Paired t-test Independent t-test ANOVA Pearson's correlation None 22. CPHQ: Health Data Analytics A healthcare system wants to evaluate the impact of a patient-centered care initiative on patient satisfaction. To identify trends over several years, which statistical technique should be used? Time-series analysis Pearson's correlation Logistic regression Chi-square test None 23. CPHQ: Health Data Analytics A healthcare analyst is studying the effect of a particular treatment on patient recovery time. To determine if there's a significant effect compared to a control group, which statistical test is most appropriate? Independent t-test Paired t-test Chi-square test Pearson's correlation None 24. CPHQ: Health Data Analytics A healthcare quality analyst wants to evaluate the distribution of patient ages in a hospital to determine if there's a significant difference among multiple departments. Which statistical test should be used? ANOVA Chi-square test Pearson's correlation Logistic regression None 25. CPHQ: Health Data Analytics A healthcare quality team wants to identify the most common diagnosis codes used in a hospital over the past year. Which data analysis technique is most appropriate to categorize these codes and determine their frequency? Content analysis ANOVA Chi-square test Pearson's correlation None 1 out of 25 Time is Up! Time's up