UNIVERSITY OF THE CUMBERLANDS • DSRT 734
DSRT 734: Reporting a Paired-Samples T-Test in APA Format
This question is related to DSRT 734 Inferential Statistics in Decision-Making at University of the Cumberlands.
DSRT 734 Question
Write the conclusion for the following t-test in APA format.
Paired Samples T-Test
Measure 1 Measure 2 t df p
Read_hrs Study_hrs -3.161 246 0.002
Note. Student's t-test.
Descriptives
N Mean SD SE
Read_hrs 422 2.021 1.856 0.090
Study_hrs 278 2.939 3.288 0.197What this question assesses
This exercise assesses APA reporting from paired-samples output and careful evaluation of whether the displayed descriptive counts support the paired structure implied by the inferential degrees of freedom.
How to approach this type of question
Begin with the design: a paired analysis requires two measurements linked within the same observational units. Read the test row for the statistic, degrees of freedom, and p-value, but also audit the descriptives. The unequal displayed N values deserve attention because a paired test can use only complete pairs; determine from the actual software output or data documentation what pair count was analyzed rather than assuming either marginal N. Compare the displayed means only as contextual summaries and use the sign of the defined difference to understand direction. An APA reporting plan should name the paired measures, report the inferential quantities with consistent rounding, include useful descriptives, and state the statistical decision without claiming that one activity causes the other. It should also document the pair-count issue if the output cannot reconcile it. This page does not resolve that discrepancy, choose interpretive wording, or write the requested final conclusion.
Before composing the report, verify the definition and order of the paired difference because it controls the sign of t. Reconcile the complete-pair count with the degrees of freedom and do not report marginal N values as though both were analyzed pairs. If the course requests a mean difference or confidence interval, retrieve it from valid paired output. A responsible conclusion should distinguish evidence of an average within-unit difference from any causal story about reading and studying.
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Published by Domyclass • Updated August 2026