ANALYTICAL METHODS OF
HEALTHCARE LEADERS (WGU D514)
FINAL EXAM PREP QUESTIONS AND
ANSWERS
1. A healthcare leader is analyzing historical patient wait times to determine if recent staff
changes have improved efficiency. Which level of analytic maturity does this primarily
represent?
A. Descriptive analytics
B. Diagnostic analytics
C. Predictive analytics
D. Prescriptive analytics
Answer: B
Conceptual Explanation: Diagnostic analytics focuses on ‘why’ something happened by
examining past data to identify patterns or causes, such as determining if staff changes
caused efficiency gains.
,2. In a normal distribution of patient recovery times, approximately what percentage of data
points fall within two standard deviations of the mean?
A. 95%
B. 90%
C. 68%
D. 99.7%
Answer: A
Conceptual Explanation: The empirical rule states that 95% of data in a normal
distribution falls within two standard deviations (plus or minus) of the mean.
3. When evaluating a new surgical technique, a p-value of 0.03 is calculated. What does this
suggest relative to a standard alpha level of 0.05?
A. The results are not statistically significant.
B. There is a 3% chance the null hypothesis is true.
C. The sample size was too small to draw conclusions.
D. The null hypothesis should be rejected.
Answer: D
Conceptual Explanation: Since 0.03 is less than the alpha level of 0.05, the result is
statistically significant, and the null hypothesis is rejected.
, 4. A hospital administrator uses a control chart to monitor medication errors. A single point
falls outside the upper control limit. This is an example of:
A. Common cause variation
B. Systemic efficiency
C. Random noise
D. Special cause variation
Answer: D
Conceptual Explanation: Special cause variation refers to shifts in a process caused by
specific, non-random events that result in data points falling outside established control
limits.
5. Which statistical test is most appropriate for comparing the mean blood pressure of three
different patient groups receiving different medications?
A. Independent t-test
B. ANOVA (Analysis of Variance)
C. Chi-square test
D. Linear regression
Answer: B
Conceptual Explanation: ANOVA is used to compare the means of three or more
independent groups to see if at least one group mean is different from the others.
HEALTHCARE LEADERS (WGU D514)
FINAL EXAM PREP QUESTIONS AND
ANSWERS
1. A healthcare leader is analyzing historical patient wait times to determine if recent staff
changes have improved efficiency. Which level of analytic maturity does this primarily
represent?
A. Descriptive analytics
B. Diagnostic analytics
C. Predictive analytics
D. Prescriptive analytics
Answer: B
Conceptual Explanation: Diagnostic analytics focuses on ‘why’ something happened by
examining past data to identify patterns or causes, such as determining if staff changes
caused efficiency gains.
,2. In a normal distribution of patient recovery times, approximately what percentage of data
points fall within two standard deviations of the mean?
A. 95%
B. 90%
C. 68%
D. 99.7%
Answer: A
Conceptual Explanation: The empirical rule states that 95% of data in a normal
distribution falls within two standard deviations (plus or minus) of the mean.
3. When evaluating a new surgical technique, a p-value of 0.03 is calculated. What does this
suggest relative to a standard alpha level of 0.05?
A. The results are not statistically significant.
B. There is a 3% chance the null hypothesis is true.
C. The sample size was too small to draw conclusions.
D. The null hypothesis should be rejected.
Answer: D
Conceptual Explanation: Since 0.03 is less than the alpha level of 0.05, the result is
statistically significant, and the null hypothesis is rejected.
, 4. A hospital administrator uses a control chart to monitor medication errors. A single point
falls outside the upper control limit. This is an example of:
A. Common cause variation
B. Systemic efficiency
C. Random noise
D. Special cause variation
Answer: D
Conceptual Explanation: Special cause variation refers to shifts in a process caused by
specific, non-random events that result in data points falling outside established control
limits.
5. Which statistical test is most appropriate for comparing the mean blood pressure of three
different patient groups receiving different medications?
A. Independent t-test
B. ANOVA (Analysis of Variance)
C. Chi-square test
D. Linear regression
Answer: B
Conceptual Explanation: ANOVA is used to compare the means of three or more
independent groups to see if at least one group mean is different from the others.
