UNIVERSITY OF THE CUMBERLANDS • DSRT 734
DSRT 734: Choosing a Test From the Blue Versus White Scatterplot — Item 14
This question is related to DSRT 734 Inferential Statistics in Decision-Making at University of the Cumberlands.
DSRT 734 Question
Given the following scatterplot of the variables Blue versus White,
choose the most appropriate test to analyze the data.
Blue vs White Scatterplot
[SCATTERPLOT IMAGE]
Option A
Pearson's chi-square
Option B
Pearson's correlation
Option C
Spearman's rho correlation
Option D
Independent samples t-testThe scatterplot referenced in this question is not included.
What this question assesses
This item assesses whether a scatterplot and variable scales can distinguish a linear correlation, a rank-based monotonic analysis, a categorical association procedure, or a comparison of group means.
How to approach this type of question
The omitted scatterplot prevents a valid selection. When the image is available, first confirm what Blue and White measure; a scatterplot usually displays paired quantitative observations, but labels alone do not establish scale. Inspect whether the points follow an approximately straight band, a curved but consistently increasing or decreasing pattern, clusters, ties, or influential outliers. A linear method and a rank-based monotonic method answer related but different questions, while count-table and group-mean procedures require different data structures. Check independence and whether each point represents one observational unit. Document the plot features before matching them to assumptions so that the desired result does not drive the method. Because neither the image nor its measurements are available, this page does not choose among the options and does not claim this item duplicates Items 15 or 23.
Record a plot check in a fixed order: variable scales, paired unit, direction, straightness, monotonicity, ties, clusters, and outliers. Then match that record to the assumptions of each answer option. Do not infer a categorical table from color-like variable names or assume a linear coefficient solely because the prompt shows a scatterplot. Because the image is absent, even the direction is unknown, and a defensible page must leave the choice unresolved. If axes are ordinal or categorical, document that fact before treating the visual as paired quantitative data.
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Published by Domyclass • Updated August 2026