Data Visualization MCQs

Standard survival methods generally assume censoring is independent of event time given relevant information.
Violation can make the remaining subjects unrepresentative.

A lognormal variable is positive and becomes normal after taking logs.
It often arises from multiplicative growth processes.

A density distributes total probability across the variable's support.
Therefore, the complete area under the curve must be one.

Multiple peaks can indicate distinct groups or generating mechanisms.
Because KDE peaks depend on bandwidth, the pattern should be checked for stability.

A single coefficient hides the form and data quality of the relationship.
Visual inspection reveals structures that correlation alone cannot show.

Higher confidence requires covering a broader range of parameter values.
This is achieved through a larger critical value and wider interval.

Permutation breaks the association specified by the alternative while preserving other data features.
The observed statistic is compared with the rearranged null distribution.

Complete linkage merges clusters based on their farthest pair of members.
It tends to favor compact clusters with limited diameter.

Exponentiating a normal variable produces only positive values.
Large multiplicative outcomes create a long right tail.

Continuous probability is assigned to intervals through area.
An individual point contributes no area even when the density there is positive.

Stable features persist under modest changes in smoothing.
Fragile peaks are more likely to reflect sampling noise or parameter choice.

Pearson correlation uses means and products of deviations, both sensitive to extremes.
Influential points should therefore be identified and investigated.