MCQ Collection
Data Visualization MCQs
Practice Data Visualization questions with answers and explanations.
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Correct Answer: D. Correlation alone does not establish that changes in one variable cause changes in another
Explanation:
Association may arise from confounding, reverse direction, bias, or coincidence.
Causal conclusions require stronger design and assumptions.
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Correct Answer: D. When measurements are linked, such as before and after values from the same subjects
Explanation:
Pairing accounts for within-subject or matched dependence.
Analyzing paired differences can reduce irrelevant between-subject variability.
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Correct Answer: D. It starts with one cluster and repeatedly splits it
Explanation:
Divisive methods work from the top of the hierarchy downward.
Each step divides an existing group into smaller clusters.
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Correct Answer: A. A parameter that shifts a distribution along the measurement axis
Explanation:
Location parameters determine where a distribution is centered.
Changing location moves the model without necessarily changing its shape.
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Correct Answer: A. Its area is normalized, so curves from different sample sizes can look similar
Explanation:
A density describes relative distribution shape rather than total count.
Sample sizes should be reported or shown with points, rugs, or annotations.
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Correct Answer: A. A strong positive linear association
Explanation:
Values near 1 occur when paired points lie close to an increasing straight line.
Correlation alone does not establish a causal mechanism.
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Correct Answer: A. A single sample-based value used to estimate a population parameter
Explanation:
Examples include the sample mean estimating the population mean.
A point estimate does not by itself express uncertainty.
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Correct Answer: A. Departures from the null in either direction
Explanation:
A two-sided alternative allows effects above or below the null value.
The rejection region is divided between both tails.
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Correct Answer: A. The sequence and dissimilarity levels of hierarchical cluster merges
Explanation:
A dendrogram is a tree representation of nested cluster relationships.
Merge height indicates the dissimilarity at which groups combine.
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Correct Answer: B. A parameter controlling the spread of a distribution
Explanation:
Scale parameters expand or contract a distribution around its location.
Standard deviation is the normal distribution's scale parameter.
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Correct Answer: B. Small marks indicating individual observed values
Explanation:
Rug marks reveal the locations and concentration of raw observations.
They help viewers connect a smooth estimate to the underlying sample.
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Correct Answer: B. Little or no linear association
Explanation:
Pearson correlation measures linear association specifically.
A strong curved relationship can still have correlation near zero.
