WGU D514 ANALYTICAL METHODS OF HEALTHCARE LEADERS
OA EXAM – NEWEST 2026 ACTUAL EXAM TEST BANK VERSION
2 | QUESTIONS WITH CORRECT DETAILED ANSWERS &
RATIONALES | COMPREHENSIVE STUDY GUIDE | PASS WITH
CONFIDENCE
1. Which analytic approach answers the question, "What happened?"
• A. Predictive analytics
• B. Prescriptive analytics
• C. Descriptive analytics
• D. Diagnostic analytics
Rationale: Descriptive analytics summarizes historical data to answer the question "What
happened?" Predictive answers "What will happen?" Prescriptive answers "What should we
do?"
2. A hospital uses forecasting to estimate next month's ED patient volume. This is an
example of:
• A. Prescriptive analytics
• B. Diagnostic analytics
• C. Predictive analytics
• D. Descriptive analytics
Rationale: Predictive analytics uses historical data and statistical models to forecast future
events, such as ED patient volume.
3. Which measure is MOST robust against extreme outliers?
• A. Mean
• B. Mode
• C. Median
• D. Variance
,Rationale: The median is robust against extreme outliers because it is the middle value,
unaffected by extreme high or low values.
4. A leader creates a scatterplot to examine the relationship between patient wait time
and nurse staffing. This is used for:
• A. Time-based trends
• B. Categorical comparisons
• C. Distribution analysis
• D. Association analysis
Rationale: Scatterplots examine the association or relationship between two continuous
variables, such as wait time and staffing levels.
5. What is the primary purpose of healthcare analytics?
• A. To increase hospital revenue
• B. To improve patient outcomes and operational efficiency
• C. To reduce staffing
• D. To eliminate all errors
Rationale: Healthcare analytics aims to improve patient outcomes, enhance quality of care,
and increase operational efficiency.
6. Which of the following is an example of structured data?
• A. Physician notes
• B. Radiology images
• C. Electronic health record (EHR) coded data
• D. Patient satisfaction comments
Rationale: Structured data is organized in predefined fields, such as EHR coded data.
Unstructured data includes free-text notes and images.
7. The term "data governance" refers to:
• A. The overall management of data availability, usability, integrity, and security
, • B. Only data security
• C. Only data storage
• D. Only data collection
Rationale: Data governance encompasses the management of data availability, usability,
integrity, and security across the organization.
8. Which of the following is a key component of data quality?
• A. Volume
• B. Velocity
• C. Accuracy
• D. Variety
Rationale: Data quality includes accuracy, completeness, consistency, and timeliness.
Volume, velocity, and variety are characteristics of big data.
9. The "5 V's" of big data include:
• A. Volume, Viscosity, Variety, Velocity, Value
• B. Volume, Variety, Velocity, Value, Vulnerability
• C. Volume, Variety, Velocity, Value, Veracity
• D. Volume, Variety, Velocity, Value, Visualization
Rationale: The 5 V's of big data are Volume, Variety, Velocity, Value, and Veracity
(trustworthiness).
10. Which of the following is an example of secondary data in healthcare?
• A. Data collected during a clinical trial
• B. Claims data from a health insurance database
• C. Data from a patient survey
• D. Data from a randomized controlled trial
Rationale: Secondary data is data collected for another purpose and repurposed for
analysis, such as claims data. Primary data is collected specifically for the study.
, 11. What is the primary goal of data standardization in healthcare?
• A. To ensure consistency and interoperability across systems
• B. To increase data volume
• C. To reduce data storage costs
• D. To eliminate data analysis
Rationale: Data standardization ensures data is consistent and interoperable across
different healthcare systems and organizations.
12. Which ethical principle is MOST relevant when using patient data for analytics?
• A. Beneficence
• B. Confidentiality
• C. Justice
• D. Non-maleficence
Rationale: Confidentiality is crucial when using patient data to protect privacy and comply
with regulations like HIPAA.
13. A healthcare leader is comparing the average length of stay between two
hospitals. Which type of analytics is this?
• A. Descriptive
• B. Predictive
• C. Prescriptive
• D. Diagnostic
Rationale: Comparing historical averages is descriptive analytics as it summarizes what
has occurred.
14. Which statistical measure describes the spread or variability of data?
• A. Mean
• B. Standard deviation
• C. Median
OA EXAM – NEWEST 2026 ACTUAL EXAM TEST BANK VERSION
2 | QUESTIONS WITH CORRECT DETAILED ANSWERS &
RATIONALES | COMPREHENSIVE STUDY GUIDE | PASS WITH
CONFIDENCE
1. Which analytic approach answers the question, "What happened?"
• A. Predictive analytics
• B. Prescriptive analytics
• C. Descriptive analytics
• D. Diagnostic analytics
Rationale: Descriptive analytics summarizes historical data to answer the question "What
happened?" Predictive answers "What will happen?" Prescriptive answers "What should we
do?"
2. A hospital uses forecasting to estimate next month's ED patient volume. This is an
example of:
• A. Prescriptive analytics
• B. Diagnostic analytics
• C. Predictive analytics
• D. Descriptive analytics
Rationale: Predictive analytics uses historical data and statistical models to forecast future
events, such as ED patient volume.
3. Which measure is MOST robust against extreme outliers?
• A. Mean
• B. Mode
• C. Median
• D. Variance
,Rationale: The median is robust against extreme outliers because it is the middle value,
unaffected by extreme high or low values.
4. A leader creates a scatterplot to examine the relationship between patient wait time
and nurse staffing. This is used for:
• A. Time-based trends
• B. Categorical comparisons
• C. Distribution analysis
• D. Association analysis
Rationale: Scatterplots examine the association or relationship between two continuous
variables, such as wait time and staffing levels.
5. What is the primary purpose of healthcare analytics?
• A. To increase hospital revenue
• B. To improve patient outcomes and operational efficiency
• C. To reduce staffing
• D. To eliminate all errors
Rationale: Healthcare analytics aims to improve patient outcomes, enhance quality of care,
and increase operational efficiency.
6. Which of the following is an example of structured data?
• A. Physician notes
• B. Radiology images
• C. Electronic health record (EHR) coded data
• D. Patient satisfaction comments
Rationale: Structured data is organized in predefined fields, such as EHR coded data.
Unstructured data includes free-text notes and images.
7. The term "data governance" refers to:
• A. The overall management of data availability, usability, integrity, and security
, • B. Only data security
• C. Only data storage
• D. Only data collection
Rationale: Data governance encompasses the management of data availability, usability,
integrity, and security across the organization.
8. Which of the following is a key component of data quality?
• A. Volume
• B. Velocity
• C. Accuracy
• D. Variety
Rationale: Data quality includes accuracy, completeness, consistency, and timeliness.
Volume, velocity, and variety are characteristics of big data.
9. The "5 V's" of big data include:
• A. Volume, Viscosity, Variety, Velocity, Value
• B. Volume, Variety, Velocity, Value, Vulnerability
• C. Volume, Variety, Velocity, Value, Veracity
• D. Volume, Variety, Velocity, Value, Visualization
Rationale: The 5 V's of big data are Volume, Variety, Velocity, Value, and Veracity
(trustworthiness).
10. Which of the following is an example of secondary data in healthcare?
• A. Data collected during a clinical trial
• B. Claims data from a health insurance database
• C. Data from a patient survey
• D. Data from a randomized controlled trial
Rationale: Secondary data is data collected for another purpose and repurposed for
analysis, such as claims data. Primary data is collected specifically for the study.
, 11. What is the primary goal of data standardization in healthcare?
• A. To ensure consistency and interoperability across systems
• B. To increase data volume
• C. To reduce data storage costs
• D. To eliminate data analysis
Rationale: Data standardization ensures data is consistent and interoperable across
different healthcare systems and organizations.
12. Which ethical principle is MOST relevant when using patient data for analytics?
• A. Beneficence
• B. Confidentiality
• C. Justice
• D. Non-maleficence
Rationale: Confidentiality is crucial when using patient data to protect privacy and comply
with regulations like HIPAA.
13. A healthcare leader is comparing the average length of stay between two
hospitals. Which type of analytics is this?
• A. Descriptive
• B. Predictive
• C. Prescriptive
• D. Diagnostic
Rationale: Comparing historical averages is descriptive analytics as it summarizes what
has occurred.
14. Which statistical measure describes the spread or variability of data?
• A. Mean
• B. Standard deviation
• C. Median
