Current Volume 9
Interpreting t-Test Results: A Practical Comparison of Manual Computation and SPSS Output for Researchers
Abstract
Accurate interpretation of statistical results is essential for credible research, particularly when employing inferential tools like the t-test to compare group means. Despite the increasing use of statistical software such as SPSS, many researchers and supervisors struggle to fully understand how these results are generated and what they imply. This seminar paper, titled "Interpreting t-Test Results: A Practical Comparison of Manual Computation and SPSS Output for Researchers", provides a detailed comparison between manual t-test computation and SPSS-generated results. It explores the underlying statistical concepts, outlines step-by-step procedures for both methods, and demonstrates how to apply decision rules using critical values and p-values. By highlighting the similarities and differences in output interpretation, this paper aims to improve the statistical literacy of researchers and enhance their ability to critically evaluate SPSS outputs. Practical examples and recommendations are provided to support better research practices and supervision.
Keywords
T-test, Manual Computation, SPSS Output.
Citations
IRE Journals:
Naziru Aminu, Ishaku Akissani "Interpreting t-Test Results: A Practical Comparison of Manual Computation and SPSS Output for Researchers" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 3169-3175
IEEE:
Naziru Aminu, Ishaku Akissani
"Interpreting t-Test Results: A Practical Comparison of Manual Computation and SPSS Output for Researchers" Iconic Research And Engineering Journals, 9(10)
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