UNIVERSITY OF THE CUMBERLANDS • DSRT 734

DSRT 734: Testing Baseball and Football Throwing Distances for Correlation

This question is related to DSRT 734 Inferential Statistics in Decision-Making at University of the Cumberlands.

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DSRT 734 Question

The attached dataset contains the distance a sample of people could
throw a baseball and they could throw a football. Download the dataset,
open it in JASP and determine if this dataset shows a correlation
between the distance a person can throw a baseball and a football.
Make sure to write your conclusion and APA statement.

The dataset referenced in this question is not included.

What this question assesses

This assignment assesses analysis of two quantitative measurements taken from the same people, including visual inspection, correlation-method selection, and interpretation of direction, strength, uncertainty, and limitations.

How to approach this type of question

The missing file is necessary for a correlation coefficient and test. With the data, verify that each row represents one person and that baseball and football distance are numeric variables measured in compatible units. Create a scatterplot before running a coefficient. Inspect direction, approximate linearity, clusters, unusual observations, and whether the relation appears monotonic but curved. Those features help distinguish a linear Pearson analysis from a rank-based alternative if course guidance supports it. In JASP, place the two distance variables in the correlation analysis, request the coefficient, p-value, sample size, and confidence interval when available. Check that missing pairs did not silently change N. An APA plan should name both variables, identify the selected coefficient, report its value and uncertainty, and avoid translating association into causation or predicting an individual’s performance. Without the file, the sign, magnitude, p-value, and conclusion cannot be supplied.

A quality-control record should include axis labels and units, the analyzed pair count, the treatment of missing pairs, and whether the selected method was changed after inspecting the plot. Interpret magnitude using the course’s conventions rather than universal labels detached from context. Check for duplicated participants or range restrictions that could distort association. The final report should not claim that throwing farther with one ball causes performance with the other, and it should not invent an unseen coefficient. Preserve the original distance units and record any transformations before analysis.

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Sources & updates

Published by Domyclass • Updated August 2026