C797 NURS 6701 Data Science & Analytics(NI)
Objective Assessment Review (Qns & Ans)
2025
1. What is the primary purpose of data analytics in healthcare?
a. To reduce communication among staff
b. To generate insights for improving patient outcomes ( Correct
ANS )
c. To collect financial data exclusively
d. To eliminate manual documentation
Rationale: Data analytics identifies patterns and provides
actionable insights to enhance patient care and outcomes.
2. Which of the following describes predictive analytics in
healthcare?
a. Assessing current trends
©2025
, b. Using historical data to forecast future events ( Correct ANS
)
c. Storing patient records
d. Managing administrative processes
Rationale: Predictive analytics leverages historical data to
anticipate future trends, supporting proactive decision-making.
3. Which aspect of data science is critical for handling large
datasets efficiently?
a. Data visualization
b. Big data processing tools ( Correct ANS )
c. Manual calculations
d. Reducing data collection
Rationale: Big data tools like Hadoop and Spark process vast
amounts of information quickly and accurately.
4. What is the role of machine learning in data science and
analytics?
a. Automating manual processes exclusively
b. Identifying patterns and making predictions ( Correct ANS )
c. Replacing statistical models
d. Limiting technological integration
©2025
, Rationale: Machine learning identifies patterns in data and
uses them to predict outcomes, aiding decision-making.
---
Fill-in-the-Blank Questions
5. __________ is the process of cleaning and preparing data for
analysis.
ANS: Data preprocessing
Rationale: Preprocessing removes inaccuracies and organizes
data for effective analysis.
6. In data visualization, __________ charts are commonly used
to show trends over time.
ANS: Line
Rationale: Line charts clearly depict how variables change
over specified intervals.
7. Predictive analytics in healthcare relies heavily on
__________ algorithms to forecast patient outcomes.
ANS: Machine learning
©2025
Objective Assessment Review (Qns & Ans)
2025
1. What is the primary purpose of data analytics in healthcare?
a. To reduce communication among staff
b. To generate insights for improving patient outcomes ( Correct
ANS )
c. To collect financial data exclusively
d. To eliminate manual documentation
Rationale: Data analytics identifies patterns and provides
actionable insights to enhance patient care and outcomes.
2. Which of the following describes predictive analytics in
healthcare?
a. Assessing current trends
©2025
, b. Using historical data to forecast future events ( Correct ANS
)
c. Storing patient records
d. Managing administrative processes
Rationale: Predictive analytics leverages historical data to
anticipate future trends, supporting proactive decision-making.
3. Which aspect of data science is critical for handling large
datasets efficiently?
a. Data visualization
b. Big data processing tools ( Correct ANS )
c. Manual calculations
d. Reducing data collection
Rationale: Big data tools like Hadoop and Spark process vast
amounts of information quickly and accurately.
4. What is the role of machine learning in data science and
analytics?
a. Automating manual processes exclusively
b. Identifying patterns and making predictions ( Correct ANS )
c. Replacing statistical models
d. Limiting technological integration
©2025
, Rationale: Machine learning identifies patterns in data and
uses them to predict outcomes, aiding decision-making.
---
Fill-in-the-Blank Questions
5. __________ is the process of cleaning and preparing data for
analysis.
ANS: Data preprocessing
Rationale: Preprocessing removes inaccuracies and organizes
data for effective analysis.
6. In data visualization, __________ charts are commonly used
to show trends over time.
ANS: Line
Rationale: Line charts clearly depict how variables change
over specified intervals.
7. Predictive analytics in healthcare relies heavily on
__________ algorithms to forecast patient outcomes.
ANS: Machine learning
©2025
