NAPLEX Exam – Introduction to Business
Analytics with 100 detailed answers and
rationale updated 2026
1. What is the primary purpose of business analytics?
A. To replace all human decision-making
B. To use data to support better business decisions
C. To eliminate the need for financial reporting
D. To store data only
Rationale: Business analytics helps organizations analyze data and make evidence-based decisions.
2. Which type of analytics focuses on what happened in the past?
A. Predictive analytics
B. Prescriptive analytics
C. Descriptive analytics
D. Cognitive analytics
Rationale: Descriptive analytics summarizes historical data to explain past performance.
3. Which type of analytics attempts to forecast future outcomes?
A. Descriptive analytics
B. Diagnostic analytics
C. Predictive analytics
D. Manual analytics
Rationale: Predictive analytics uses historical data and models to estimate future events.
4. Which type of analytics recommends actions to achieve desired outcomes?
,A. Descriptive analytics
B. Diagnostic analytics
C. Predictive analytics
D. Prescriptive analytics
Rationale: Prescriptive analytics suggests optimal decisions or actions based on data.
5. Which question is most closely associated with diagnostic analytics?
A. What should we do next?
B. What will happen next?
C. Why did it happen?
D. What is the database size?
Rationale: Diagnostic analytics investigates causes behind past outcomes.
6. Which of the following is an example of structured data?
A. Customer reviews
B. Social media comments
C. Audio recordings
D. Sales transaction records
Rationale: Structured data is organized in rows and columns, such as transaction records.
7. Which of the following is an example of unstructured data?
A. Inventory table
B. Payroll spreadsheet
C. Video files
D. SQL database table
Rationale: Videos are unstructured because they do not follow a predefined table format.
,8. What does KPI stand for?
A. Key Performance Index
B. Key Performance Indicator
C. Known Process Input
D. Knowledge Productivity Insight
Rationale: KPIs are measurable values used to evaluate performance toward objectives.
9. Which of the following is a good example of a KPI for a retail pharmacy?
A. Color of the pharmacy walls
B. Number of parking spaces
C. Prescription fill time
D. Employee favorite snacks
Rationale: Prescription fill time directly measures operational performance.
10. What is data cleansing?
A. Deleting all data after use
B. Correcting or removing inaccurate, incomplete, or duplicate data
C. Encrypting every report
D. Creating marketing slogans
Rationale: Data cleansing improves data quality before analysis.
11. Which measure of central tendency is calculated by adding values and dividing by the number of
values?
A. Median
B. Mode
C. Range
D. Mean
, Rationale: The mean is the arithmetic average.
12. Which measure identifies the middle value in an ordered dataset?
A. Mean
B. Median
C. Mode
D. Standard deviation
Rationale: The median is the middle value when data are sorted.
13. Which measure identifies the most frequently occurring value?
A. Mean
B. Median
C. Mode
D. Variance
Rationale: The mode is the value that appears most often.
14. What does standard deviation measure?
A. Total sales
B. Number of rows
C. Variability or spread of data around the mean
D. Data entry speed
Rationale: Standard deviation shows how dispersed values are from the average.
15. If a dataset has a very high standard deviation, what does that indicate?
A. All values are identical
B. The data are always incorrect
C. Values are widely spread out
D. The mean must be zero
Analytics with 100 detailed answers and
rationale updated 2026
1. What is the primary purpose of business analytics?
A. To replace all human decision-making
B. To use data to support better business decisions
C. To eliminate the need for financial reporting
D. To store data only
Rationale: Business analytics helps organizations analyze data and make evidence-based decisions.
2. Which type of analytics focuses on what happened in the past?
A. Predictive analytics
B. Prescriptive analytics
C. Descriptive analytics
D. Cognitive analytics
Rationale: Descriptive analytics summarizes historical data to explain past performance.
3. Which type of analytics attempts to forecast future outcomes?
A. Descriptive analytics
B. Diagnostic analytics
C. Predictive analytics
D. Manual analytics
Rationale: Predictive analytics uses historical data and models to estimate future events.
4. Which type of analytics recommends actions to achieve desired outcomes?
,A. Descriptive analytics
B. Diagnostic analytics
C. Predictive analytics
D. Prescriptive analytics
Rationale: Prescriptive analytics suggests optimal decisions or actions based on data.
5. Which question is most closely associated with diagnostic analytics?
A. What should we do next?
B. What will happen next?
C. Why did it happen?
D. What is the database size?
Rationale: Diagnostic analytics investigates causes behind past outcomes.
6. Which of the following is an example of structured data?
A. Customer reviews
B. Social media comments
C. Audio recordings
D. Sales transaction records
Rationale: Structured data is organized in rows and columns, such as transaction records.
7. Which of the following is an example of unstructured data?
A. Inventory table
B. Payroll spreadsheet
C. Video files
D. SQL database table
Rationale: Videos are unstructured because they do not follow a predefined table format.
,8. What does KPI stand for?
A. Key Performance Index
B. Key Performance Indicator
C. Known Process Input
D. Knowledge Productivity Insight
Rationale: KPIs are measurable values used to evaluate performance toward objectives.
9. Which of the following is a good example of a KPI for a retail pharmacy?
A. Color of the pharmacy walls
B. Number of parking spaces
C. Prescription fill time
D. Employee favorite snacks
Rationale: Prescription fill time directly measures operational performance.
10. What is data cleansing?
A. Deleting all data after use
B. Correcting or removing inaccurate, incomplete, or duplicate data
C. Encrypting every report
D. Creating marketing slogans
Rationale: Data cleansing improves data quality before analysis.
11. Which measure of central tendency is calculated by adding values and dividing by the number of
values?
A. Median
B. Mode
C. Range
D. Mean
, Rationale: The mean is the arithmetic average.
12. Which measure identifies the middle value in an ordered dataset?
A. Mean
B. Median
C. Mode
D. Standard deviation
Rationale: The median is the middle value when data are sorted.
13. Which measure identifies the most frequently occurring value?
A. Mean
B. Median
C. Mode
D. Variance
Rationale: The mode is the value that appears most often.
14. What does standard deviation measure?
A. Total sales
B. Number of rows
C. Variability or spread of data around the mean
D. Data entry speed
Rationale: Standard deviation shows how dispersed values are from the average.
15. If a dataset has a very high standard deviation, what does that indicate?
A. All values are identical
B. The data are always incorrect
C. Values are widely spread out
D. The mean must be zero
