MCQ Collection
Data Visualization MCQs
Practice Data Visualization questions with answers and explanations.
Choose an option to check your answer.
A.
The icon area remains unchanged
B.
The category count is halved
C.
The axis becomes logarithmic
D.
The icon area becomes four times as large
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Correct Answer: D. The icon area becomes four times as large
Explanation:
Scaling both dimensions doubles the area twice, producing a fourfold visual increase.
Choose an option to check your answer.
A.
They always indicate missing data
B.
Logarithms only accept integers
C.
The transformation changes sample size
D.
The ordinary real-valued logarithm is undefined for them
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Correct Answer: D. The ordinary real-valued logarithm is undefined for them
Explanation:
Real logarithms require strictly positive inputs.
Choose an option to check your answer.
B.
The sample mean
C.
The variance
D.
1
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Correct Answer: D. 1
Explanation:
Eventually the threshold includes the entire probability space.
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A.
Random draws
B.
Parameter estimates
C.
Sorted observations
D.
Cumulative probabilities
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Correct Answer: D. Cumulative probabilities
Explanation:
The p-prefix evaluates the cumulative distribution function.
Choose an option to check your answer.
A.
Standard deviation relative to the mean
B.
Median relative to sample size
C.
Maximum relative to minimum
D.
Variance relative to the number of categories
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Correct Answer: A. Standard deviation relative to the mean
Explanation:
The coefficient of variation is commonly calculated as standard deviation divided by mean.
Choose an option to check your answer.
A.
Many observations occupy the same or nearby pixel positions
B.
The axes are labeled twice
C.
The regression line is too short
D.
The plot contains too few points
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Correct Answer: A. Many observations occupy the same or nearby pixel positions
Explanation:
Dense or duplicated points can hide the true number of observations.
Choose an option to check your answer.
A.
How observations are arranged across their possible values
B.
Only the number of variables
C.
The name of the dataset
D.
The file size in memory
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Correct Answer: A. How observations are arranged across their possible values
Explanation:
Distribution shape includes symmetry, skewness, modality, gaps, and tail behavior.
Choose an option to check your answer.
A.
To express values in units of standard deviations from the mean
B.
To make every value positive
C.
To remove all outliers
D.
To convert continuous values to categories
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Correct Answer: A. To express values in units of standard deviations from the mean
Explanation:
Standardization centers at zero and scales by the standard deviation.
Choose an option to check your answer.
A.
As a step function
B.
As a set of isolated circles with no connection
C.
As a perfectly straight line in every case
D.
As a bar chart of means
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Correct Answer: A. As a step function
Explanation:
The CDF jumps at values with positive probability mass.
Choose an option to check your answer.
A.
Quantiles corresponding to cumulative probabilities
B.
Histogram bin counts
C.
Cluster memberships
D.
Covariance matrices
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Correct Answer: A. Quantiles corresponding to cumulative probabilities
Explanation:
A quantile function inverts the CDF.
Choose an option to check your answer.
A.
When all observations are positive
B.
When the mean is zero or the measurement scale lacks a meaningful zero
C.
When comparing repeated measurements
D.
When the standard deviation is available
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Correct Answer: B. When the mean is zero or the measurement scale lacks a meaningful zero
Explanation:
Division by a zero or near-zero mean makes the ratio unstable.
Choose an option to check your answer.
A.
Truncating all values
B.
Jittering
C.
Removing the axes
D.
Converting every point to a line
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Correct Answer: B. Jittering
Explanation:
Jittering adds a small amount of visual displacement to coincident points.
