MCQ Collection
Data Visualization MCQs
Practice Data Visualization questions with answers and explanations.
Choose an option to check your answer.
A.
Correlations cannot be colored
B.
The number of pairwise comparisons grows rapidly with the number of variables
C.
Every coefficient becomes identical
D.
Matrices can contain only two variables
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Correct Answer: B. The number of pairwise comparisons grows rapidly with the number of variables
Explanation:
With p variables, there are p(p-1)/2 distinct pairwise correlations.
Choose an option to check your answer.
A.
Significant results are always caused by bias
B.
A very small effect can be statistically detectable in a large sample
C.
Practical significance can only be negative
D.
P-values directly measure cost
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Correct Answer: B. A very small effect can be statistically detectable in a large sample
Explanation:
A test addresses evidence against a null value, not whether the effect matters in practice.
Choose an option to check your answer.
A.
K-means cannot process numeric data
B.
The algorithm will create clusters even when no meaningful grouping exists
C.
It always returns only one cluster
D.
Its centroids are exact population parameters
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Correct Answer: B. The algorithm will create clusters even when no meaningful grouping exists
Explanation:
Partitioning is guaranteed for any chosen k, but substantive clusters are not.
Choose an option to check your answer.
A.
Subject knowledge changes the sample size
B.
A fitted model never needs validation
C.
A statistically close fit may still imply impossible or inappropriate values
D.
All distributions have the same support
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Correct Answer: C. A statistically close fit may still imply impossible or inappropriate values
Explanation:
Support, mechanisms, and plausible tail behavior depend on the real process.
Choose an option to check your answer.
A.
A separate probability mass that must equal one
B.
A regression line through all points
C.
A kernel function centered at the observation
D.
A category label with no numeric position
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Correct Answer: C. A kernel function centered at the observation
Explanation:
KDE forms the estimate by averaging kernels centered at the sample values.
Choose an option to check your answer.
A.
It can only be negative
B.
It always lies between -1 and 1
C.
Its magnitude depends on the variables' units and scales
D.
It ignores paired observations
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Correct Answer: C. Its magnitude depends on the variables' units and scales
Explanation:
Changing a measurement unit changes covariance numerically.
Choose an option to check your answer.
A.
One variable has missing labels
B.
The sample contains repeated values
C.
A third variable influences both variables and can create or distort their relationship
D.
The covariance is measured in squared units
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Correct Answer: C. A third variable influences both variables and can create or distort their relationship
Explanation:
A confounder provides an alternative explanation for an observed relationship.
Choose an option to check your answer.
A.
The probability that the null is true
B.
The chosen sample size only
C.
A quantitative measure of the magnitude of a difference or relationship
D.
The number of chart annotations
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Correct Answer: C. A quantitative measure of the magnitude of a difference or relationship
Explanation:
Effect sizes describe how large an observed phenomenon is.
Choose an option to check your answer.
A.
It puts all observations into one final cluster and stops
B.
It selects labeled training examples
C.
It treats each observation as its own cluster
D.
It estimates a regression slope
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Correct Answer: C. It treats each observation as its own cluster
Explanation:
Agglomerative clustering begins with singleton clusters.
Choose an option to check your answer.
A.
A lognormal model
B.
An exponential model
C.
A positive-support empirical model
D.
An untransformed normal model
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Correct Answer: D. An untransformed normal model
Explanation:
A normal distribution has support over the entire real line.
Choose an option to check your answer.
A.
A dendrogram kernel only
B.
A categorical bar kernel
C.
A survival censoring kernel
D.
A Gaussian kernel
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Correct Answer: D. A Gaussian kernel
Explanation:
Gaussian kernels are popular because they are smooth and mathematically convenient.
Choose an option to check your answer.
A.
From 0 to 1 only
B.
From negative infinity to positive infinity
C.
From 0 to the sample size
D.
From -1 to 1
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Correct Answer: D. From -1 to 1
Explanation:
Pearson correlation standardizes linear association to a fixed range.
