UNIVERSITY OF THE CUMBERLANDS • DSRT 734
DSRT 734: Reporting a Second Independent-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.
Independent Samples T-Test
Test Statistic df p
Score Student 1.513 61.000 0.113
Welch 1.479 60.761 0.148
Assumption Checks
Test of Equality of Variances (Levene's)
F df p
Score 0.162 1 0.688
Descriptives
Group N Mean SD SE
Score B 30 29.234 15.393 2.810
C 34 24.541 16.426 2.817What this question assesses
This exercise assesses disciplined selection and reporting from independent-samples output. It requires separating the variance assumption check from the inferential result and integrating descriptive context without overstating what the test establishes.
How to approach this type of question
Use a fixed sequence. Confirm that groups B and C are separate samples and that Score is the quantitative outcome. Read Levene’s test as an assumption diagnostic, not as the primary comparison. Based on the course’s stated decision rule for that diagnostic, identify the appropriate inferential row and transfer its statistic, degrees of freedom, and p-value accurately. Next record each group’s N, mean, and standard deviation so the report can describe the observed direction and variability. Decide how the chosen p-value relates to the specified significance threshold, while remembering that a failure to meet a threshold is not proof that population means are identical. An APA-style conclusion should name the comparison, report the selected inferential quantities with consistent rounding, give useful descriptives, and state the decision with appropriately limited language. The page deliberately leaves that row selection and final sentence to the student.
A submission check should trace every reported number back to a labeled output cell and preserve the B-minus-C direction. Make sure the assumption-test p-value never replaces the comparison p-value. If confidence intervals or effect sizes are requested elsewhere, obtain them from validated output rather than reverse-engineering unsupported values. The final wording should say what the sample evidence supports at the chosen threshold and should not turn a non-threshold result into proof of equality. Confirm that the chosen degrees of freedom retain the output’s displayed precision.
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Published by Domyclass • Updated August 2026