ANALYTICAL METHODS FOR HEALTH
CARE LEADERS - COMPREHENSIVE
EXAM (WGU D514) QUESTIONS AND
ANSWERS
1. A healthcare administrator is reviewing a study where the p-value is 0.03. If the alpha level
was set at 0.05, what should the administrator conclude?
A. Accept the null hypothesis as there is no significant difference.
B. Reject the null hypothesis as the result is statistically significant.
C. Increase the sample size to decrease the p-value further.
D. The results are inconclusive because the p-value is too high.
Answer: B
Conceptual Explanation: When the p-value is less than the predetermined alpha level
(usually 0.05), the result is considered statistically significant, and the null hypothesis is
rejected.
,2. Which of the following data types is characterized by an absolute zero point, allowing for
the calculation of ratios?
A. Nominal
B. Ordinal
C. Ratio
D. Interval
Answer: C
Conceptual Explanation: Ratio data has all the properties of interval data plus an absolute
zero point, which represents the complete absence of the variable being measured.
3. In a Six Sigma project, which phase of the DMAIC process involves identifying the root
causes of defects?
A. Define
B. Measure
C. Analyze
D. Improve
Answer: C
Conceptual Explanation: The Analyze phase is focused on identifying the root causes of
the problem by analyzing data and process maps.
, 4. A hospital is using a Pareto chart to address patient falls. What is the primary purpose of
using this tool?
A. To track changes in falls over a specific time period.
B. To visualize the workflow of the fall prevention protocol.
C. To determine the correlation between staffing levels and falls.
D. To identify the ‘vital few’ causes that contribute to the majority of falls.
Answer: D
Conceptual Explanation: The Pareto principle (80/20 rule) suggests that roughly 80% of
effects come from 20% of causes. A Pareto chart helps leaders focus on the most significant
contributors to a problem.
5. What occurs when a researcher fails to reject a null hypothesis that is actually false?
A. Type I Error
B. Sampling Bias
C. Standard Error
D. Type II Error
Answer: D
Conceptual Explanation: A Type II error, or a ‘false negative,’ occurs when the null
hypothesis is not rejected even though the alternative hypothesis is true.
CARE LEADERS - COMPREHENSIVE
EXAM (WGU D514) QUESTIONS AND
ANSWERS
1. A healthcare administrator is reviewing a study where the p-value is 0.03. If the alpha level
was set at 0.05, what should the administrator conclude?
A. Accept the null hypothesis as there is no significant difference.
B. Reject the null hypothesis as the result is statistically significant.
C. Increase the sample size to decrease the p-value further.
D. The results are inconclusive because the p-value is too high.
Answer: B
Conceptual Explanation: When the p-value is less than the predetermined alpha level
(usually 0.05), the result is considered statistically significant, and the null hypothesis is
rejected.
,2. Which of the following data types is characterized by an absolute zero point, allowing for
the calculation of ratios?
A. Nominal
B. Ordinal
C. Ratio
D. Interval
Answer: C
Conceptual Explanation: Ratio data has all the properties of interval data plus an absolute
zero point, which represents the complete absence of the variable being measured.
3. In a Six Sigma project, which phase of the DMAIC process involves identifying the root
causes of defects?
A. Define
B. Measure
C. Analyze
D. Improve
Answer: C
Conceptual Explanation: The Analyze phase is focused on identifying the root causes of
the problem by analyzing data and process maps.
, 4. A hospital is using a Pareto chart to address patient falls. What is the primary purpose of
using this tool?
A. To track changes in falls over a specific time period.
B. To visualize the workflow of the fall prevention protocol.
C. To determine the correlation between staffing levels and falls.
D. To identify the ‘vital few’ causes that contribute to the majority of falls.
Answer: D
Conceptual Explanation: The Pareto principle (80/20 rule) suggests that roughly 80% of
effects come from 20% of causes. A Pareto chart helps leaders focus on the most significant
contributors to a problem.
5. What occurs when a researcher fails to reject a null hypothesis that is actually false?
A. Type I Error
B. Sampling Bias
C. Standard Error
D. Type II Error
Answer: D
Conceptual Explanation: A Type II error, or a ‘false negative,’ occurs when the null
hypothesis is not rejected even though the alternative hypothesis is true.
