MCQ Collection
Data Visualization MCQs
Practice Data Visualization questions with answers and explanations.
Choose an option to check your answer.
A.
It can display only one series
B.
Independent axis scales can be adjusted to imply an arbitrary relationship
C.
Both axes must always start at zero
D.
It automatically removes time order
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Correct Answer: B. Independent axis scales can be adjusted to imply an arbitrary relationship
Explanation:
Visual alignment between two series may result from chosen scales rather than data association.
Choose an option to check your answer.
A.
Each observation with its sample mean
B.
Two unrelated category counts
C.
Each observation with the immediately previous observation
D.
The first and last variables only
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Correct Answer: C. Each observation with the immediately previous observation
Explanation:
A lag-1 plot places x at time t-1 against x at time t.
Choose an option to check your answer.
A.
Only subjects who already experienced the event
B.
All people in the target population
C.
Subjects still under observation and event-free just before that time
D.
Subjects with missing predictor values only
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Correct Answer: C. Subjects still under observation and event-free just before that time
Explanation:
Kaplan-Meier calculations use those who could still experience the event.
Choose an option to check your answer.
A.
Four unlabeled pie charts
B.
A single line connecting group means in arbitrary order
C.
Faceted density or violin plots supplemented with raw points and sample-size labels
D.
A three-dimensional surface without group labels
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Correct Answer: C. Faceted density or violin plots supplemented with raw points and sample-size labels
Explanation:
Distribution displays reveal shape, while raw points and labels show the evidence and sample size.
Choose an option to check your answer.
A.
To randomize the observation order
B.
To convert time into categories
C.
To calculate a survival probability
D.
To smooth short-term fluctuations and reveal underlying movement
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Correct Answer: D. To smooth short-term fluctuations and reveal underlying movement
Explanation:
A moving average replaces each point with a local average.
Choose an option to check your answer.
A.
Repeated measurements of the same predictor
B.
Two chart colors representing one category
C.
Independent random-number seeds
D.
Different event types where occurrence of one prevents the event of interest
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Correct Answer: D. Different event types where occurrence of one prevents the event of interest
Explanation:
For example, death from another cause can prevent observing disease recurrence.
Choose an option to check your answer.
A.
Present it immediately as proven causation
B.
Remove contradictory observations without explanation
C.
Choose a chart scale that maximizes the effect
D.
Document it as exploratory, check data quality, and validate it with additional analysis or new data
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Correct Answer: D. Document it as exploratory, check data quality, and validate it with additional analysis or new data
Explanation:
Exploratory findings can result from chance, bias, or data problems.
Choose an option to check your answer.
A.
The series becomes smoother but local changes are less visible
B.
The series becomes noisier and more detailed
C.
The sample size increases
D.
All seasonal patterns become exact
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Correct Answer: A. The series becomes smoother but local changes are less visible
Explanation:
Larger windows average over more periods and suppress more variation.
Choose an option to check your answer.
A.
With small tick marks on the survival curve
B.
With bars extending below zero
C.
With cluster centroids
D.
With histogram bin boundaries
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Correct Answer: A. With small tick marks on the survival curve
Explanation:
Tick marks indicate times when observation ended without the event.
Choose an option to check your answer.
A.
Numeric and categorical variables
B.
Trend, seasonal, and remainder components
C.
Training and response labels only
D.
Means and p-values
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Correct Answer: B. Trend, seasonal, and remainder components
Explanation:
Decomposition represents a series as interpretable underlying components.
Choose an option to check your answer.
A.
Means of two independent normal variables only
B.
Survival experience between groups over the observed follow-up
C.
Kernel bandwidths
D.
Numbers of histogram bins
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Correct Answer: B. Survival experience between groups over the observed follow-up
Explanation:
The log-rank test compares observed and expected events across risk sets.
Choose an option to check your answer.
A.
Dividing every value by the first value
B.
Removing the first half of the series
C.
Subtracting the previous observation from the current observation
D.
Calculating a cumulative sum
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Correct Answer: C. Subtracting the previous observation from the current observation
Explanation:
The first difference is x_t minus x_{t-1}.
