MGT 6203 Midterm Exam: Complete Study
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Guide – Data Analytics, Regression, Machine
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Learning & Time Series Q&A with = = = =
= Rationales 2026/2027 =
Complete Q&A with Rationales for Exam = = = = = =
Success =
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SECTION A: DATA ANALYTICS & BUSINESS INTELLIGENCE
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(Questions 1-25) = =
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Question 1 = =
Which of the following best describes the purpose of data analytics i
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n business?
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A) To collect and store large volumes of raw data
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B) To transform raw data into actionable insights for decision
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making =
C) To replace human decision making entirely
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,Answer: =
B) To transform raw data into actionable insights for
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decision making = =
Rationale: Data analytics involves examining, cleaning, transformin
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g, and modeling data to discover useful information and support busi
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ness decision making . While data storage and security are importan
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t, the core purpose is generating actionable insights.
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Question 2 = =
Which type of analytics answers the question "What happened?"
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A) Descriptive analytics = =
B) Diagnostic analytics = =
C) Predictive analytics = =
D) Prescriptive analytics = =
Answer: A) Descriptive analytics = = = =
Rationale: Descriptive analytics summarizes historical data to unders
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tand what has occurred in the past . Diagnostic analytics answers "wh
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y," predictive answers "what will happen," and prescriptive answers
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"what should we do" .= = = = =
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Question 3 =
Which type of analytics answers the question "Why did it happen?"
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A) Descriptive analytics = =
B) Diagnostic analytics = =
C) Predictive analytics = =
D) Prescriptive analytics = =
Answer: B) Diagnostic analytics
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Rationale: Diagnostic analytics examines data to understand causal
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relationships and the root causes of past events . It goes beyond desc
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ribing what happened to explaining the underlying factors.
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Question 4 = =
Which type of analytics answers the question "What will happen?"
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A) Descriptive analytics = =
B) Diagnostic analytics = =
C) Predictive analytics = =
D) Prescriptive analytics = =
, Answer: =
C) Predictive analytics
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Rationale: Predictive analytics uses statistical models and machine le
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arning to forecast future outcomes based on historical data . This inclu
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des forecasting sales, predicting customer churn, and estimating risk.
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Question 5 = =
Which type of analytics answers the question "What should we do a
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bout it?"
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A) Descriptive analytics = =
B) Diagnostic analytics = =
C) Predictive analytics = =
D) Prescriptive analytics = =
Answer: D) Prescriptive analytics
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Rationale: Prescriptive analytics recommends actions to achieve de
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sired outcomes, often using optimization and simulation techniques . I
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t goes beyond prediction to suggest specific decisions.
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Question 6 =
Which of the following is an example of descriptive analytics?
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A) A sales dashboard showing last month's revenue by region
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=
= = = = = =
Guide – Data Analytics, Regression, Machine
= = = = = =
Learning & Time Series Q&A with = = = =
= Rationales 2026/2027 =
Complete Q&A with Rationales for Exam = = = = = =
Success =
=
SECTION A: DATA ANALYTICS & BUSINESS INTELLIGENCE
= = = = = = =
(Questions 1-25) = =
=
Question 1 = =
Which of the following best describes the purpose of data analytics i
= = = = = = = = = = =
n business?
= =
A) To collect and store large volumes of raw data
= = = = = = = = =
B) To transform raw data into actionable insights for decision
= = = = = = = = =
making =
C) To replace human decision making entirely
= = = = =
,Answer: =
B) To transform raw data into actionable insights for
= = = = = = = = =
decision making = =
Rationale: Data analytics involves examining, cleaning, transformin
= = = = = =
g, and modeling data to discover useful information and support busi
= = = = = = = = = =
ness decision making . While data storage and security are importan
= = = = = = = = = =
t, the core purpose is generating actionable insights.
= = = = = = = =
=
Question 2 = =
Which type of analytics answers the question "What happened?"
= = = = = = = = =
A) Descriptive analytics = =
B) Diagnostic analytics = =
C) Predictive analytics = =
D) Prescriptive analytics = =
Answer: A) Descriptive analytics = = = =
Rationale: Descriptive analytics summarizes historical data to unders
= = = = = = =
tand what has occurred in the past . Diagnostic analytics answers "wh
= = = = = = = = = = =
y," predictive answers "what will happen," and prescriptive answers
= = = = = = = = =
"what should we do" .= = = = =
=
, =
Question 3 =
Which type of analytics answers the question "Why did it happen?"
= = = = = = = = = = =
A) Descriptive analytics = =
B) Diagnostic analytics = =
C) Predictive analytics = =
D) Prescriptive analytics = =
Answer: B) Diagnostic analytics
= = = =
Rationale: Diagnostic analytics examines data to understand causal
= = = = = = = =
relationships and the root causes of past events . It goes beyond desc
= = = = = = = = = = = =
ribing what happened to explaining the underlying factors.
= = = = = = = =
=
Question 4 = =
Which type of analytics answers the question "What will happen?"
= = = = = = = = = =
A) Descriptive analytics = =
B) Diagnostic analytics = =
C) Predictive analytics = =
D) Prescriptive analytics = =
, Answer: =
C) Predictive analytics
= = =
Rationale: Predictive analytics uses statistical models and machine le
= = = = = = = =
arning to forecast future outcomes based on historical data . This inclu
= = = = = = = = = = =
des forecasting sales, predicting customer churn, and estimating risk.
= = = = = = = = =
=
Question 5 = =
Which type of analytics answers the question "What should we do a
= = = = = = = = = = =
bout it?"
= =
A) Descriptive analytics = =
B) Diagnostic analytics = =
C) Predictive analytics = =
D) Prescriptive analytics = =
Answer: D) Prescriptive analytics
= = = =
Rationale: Prescriptive analytics recommends actions to achieve de
= = = = = = =
sired outcomes, often using optimization and simulation techniques . I
= = = = = = = = =
t goes beyond prediction to suggest specific decisions.
= = = = = = = =
Question 6 =
Which of the following is an example of descriptive analytics?
= = = = = = = = = =
A) A sales dashboard showing last month's revenue by region
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