MISM 6200 MIDTERM (2025) COMPREHENSIVE QUESTIONS AND
VERIFIED ANSWERS (ELABORATED) GET IT 100% ACCURATE!!
Question 1
Why do business analytics practitioners need to be far more connected with the context of the
real world than data scientists?
A) Because they are primarily involved with raw data and cleaning data.
B) Because their main role is data modeling.
C) Because they focus on querying and reporting.
D) Because of the need to make actionable recommendations from data.
E) Because they only work with algorithms and neural networks.
Correct Answer: D) Because of the need to make actionable recommendations from
data.
Rationale: Business analytics practitioners are driven by the need "to make
actionable recommendations from data."
Question 2
Individuals who are more involved with raw data and cleaning data are typically:
A) Data scientists
B) Business analysts
C) Analytics practitioners
D) Data engineers
E) Machine learning specialists
Correct Answer: D) Data engineers
Rationale: Data engineers "are more involved with raw data and cleaning data."
,Question 3
Individuals who are more involved in the modeling aspect of data analysis are typically:
A) Data engineers
B) Business analysts
C) Analytics practitioners
D) Data scientists
E) Machine learning specialists
Correct Answer: D) Data scientists
Rationale: Data scientists "are more involved in the modeling."
Question 4
The transition from modeling to the real world is primarily the domain of:
A) Data engineering
B) Data science
C) Machine learning
D) Business intelligence
E) Analytics
Correct Answer: E) Analytics
Rationale: Analytics is described as the transition "from modeling to the real world."
Question 5
What should business analysts primarily be driven by?
A) The availability of large datasets.
B) The latest machine learning algorithms.
C) The desire to discover complex patterns.
,D) The problem, not the data.
E) The technology available.
Correct Answer: D) The problem, not the data.
Rationale: Business analysts "Be driven by the problem, not the data."
Question 6
What is described as examining data using statistics and algorithms to explain, predict, and
communicate outcomes in an organization?
A) Data Science
B) Business Intelligence (BI)
C) Machine Learning
D) Statistics
E) Business Analytics (BA)
Correct Answer: E) Business Analytics (BA)
Rationale: Business analytics is defined as "examining data using statistics and
algorithms to explain, predict and communicate outcomes in an organization."
Question 7
What is a broad term referring to all the ways a computer can learn, including statistics,
algorithms, and neural networks?
A) Business Analytics
B) Business Intelligence
C) Data Science
D) Machine Learning
E) Data Mining
, Correct Answer: D) Machine Learning
Rationale: Machine Learning is "a broad term referring to all the ways a computer
can learn including statistics, algorithms and neural networks."
Question 8
Which field requires assumptions about the distribution of data?
A) Machine learning
B) Data science
C) Business analytics
D) Statistics
E) Deep learning
Correct Answer: D) Statistics
Rationale: Statistics "requires assumptions about the distribution of data."
Question 9
Which methods do not necessarily make distributional assumptions about data?
A) Statistics
B) Econometrics
C) Machine learning
D) Traditional data analysis
E) Business intelligence
Correct Answer: C) Machine learning
Rationale: Machine learning "methods do not necessarily make distributional
assumptions."
VERIFIED ANSWERS (ELABORATED) GET IT 100% ACCURATE!!
Question 1
Why do business analytics practitioners need to be far more connected with the context of the
real world than data scientists?
A) Because they are primarily involved with raw data and cleaning data.
B) Because their main role is data modeling.
C) Because they focus on querying and reporting.
D) Because of the need to make actionable recommendations from data.
E) Because they only work with algorithms and neural networks.
Correct Answer: D) Because of the need to make actionable recommendations from
data.
Rationale: Business analytics practitioners are driven by the need "to make
actionable recommendations from data."
Question 2
Individuals who are more involved with raw data and cleaning data are typically:
A) Data scientists
B) Business analysts
C) Analytics practitioners
D) Data engineers
E) Machine learning specialists
Correct Answer: D) Data engineers
Rationale: Data engineers "are more involved with raw data and cleaning data."
,Question 3
Individuals who are more involved in the modeling aspect of data analysis are typically:
A) Data engineers
B) Business analysts
C) Analytics practitioners
D) Data scientists
E) Machine learning specialists
Correct Answer: D) Data scientists
Rationale: Data scientists "are more involved in the modeling."
Question 4
The transition from modeling to the real world is primarily the domain of:
A) Data engineering
B) Data science
C) Machine learning
D) Business intelligence
E) Analytics
Correct Answer: E) Analytics
Rationale: Analytics is described as the transition "from modeling to the real world."
Question 5
What should business analysts primarily be driven by?
A) The availability of large datasets.
B) The latest machine learning algorithms.
C) The desire to discover complex patterns.
,D) The problem, not the data.
E) The technology available.
Correct Answer: D) The problem, not the data.
Rationale: Business analysts "Be driven by the problem, not the data."
Question 6
What is described as examining data using statistics and algorithms to explain, predict, and
communicate outcomes in an organization?
A) Data Science
B) Business Intelligence (BI)
C) Machine Learning
D) Statistics
E) Business Analytics (BA)
Correct Answer: E) Business Analytics (BA)
Rationale: Business analytics is defined as "examining data using statistics and
algorithms to explain, predict and communicate outcomes in an organization."
Question 7
What is a broad term referring to all the ways a computer can learn, including statistics,
algorithms, and neural networks?
A) Business Analytics
B) Business Intelligence
C) Data Science
D) Machine Learning
E) Data Mining
, Correct Answer: D) Machine Learning
Rationale: Machine Learning is "a broad term referring to all the ways a computer
can learn including statistics, algorithms and neural networks."
Question 8
Which field requires assumptions about the distribution of data?
A) Machine learning
B) Data science
C) Business analytics
D) Statistics
E) Deep learning
Correct Answer: D) Statistics
Rationale: Statistics "requires assumptions about the distribution of data."
Question 9
Which methods do not necessarily make distributional assumptions about data?
A) Statistics
B) Econometrics
C) Machine learning
D) Traditional data analysis
E) Business intelligence
Correct Answer: C) Machine learning
Rationale: Machine learning "methods do not necessarily make distributional
assumptions."
