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All Journal Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia
Hidayah, Naillah
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Humanities Computer Science & IT Education Law, Crime, Criminology & Criminal Justice Social Sciences

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Analisis Varians dan Uji Signifikansi F Aghna, Hannah; Ramadhani, Mutia; Hidayah, Naillah; Panggabean, Hadi Saputra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 2 (2025): July 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i2.6783

Abstract

This study discusses the use of Analysis of Variance (ANOVA) and the F-test for significance, which are statistical methods designed to test significant differences between the means of three or more groups. ANOVA works by comparing variability between groups, using the F-test to support the process based on the F-distribution to assess the significance of the observed differences. This article provides a comprehensive discussion of the fundamental concepts of analysis of variance, the steps involved in conducting the F-test, and the statistical interpretation of the test results. The explanation is presented in a systematic and easy-to-understand approach, making it helpful for researchers or students in understanding and applying ANOVA in the context of quantitative research. By understanding analysis of variance and the F-test for significance, researchers can draw valid conclusions based on data and improve the quality of evidence-based decision-making.
Analisis Varians dan Uji Signifikansi F Aghna, Hannah; Ramadhani, Mutia; Hidayah, Naillah; Panggabean, Hadi Saputra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 2 (2025): July 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i2.6783

Abstract

This study discusses the use of Analysis of Variance (ANOVA) and the F-test for significance, which are statistical methods designed to test significant differences between the means of three or more groups. ANOVA works by comparing variability between groups, using the F-test to support the process based on the F-distribution to assess the significance of the observed differences. This article provides a comprehensive discussion of the fundamental concepts of analysis of variance, the steps involved in conducting the F-test, and the statistical interpretation of the test results. The explanation is presented in a systematic and easy-to-understand approach, making it helpful for researchers or students in understanding and applying ANOVA in the context of quantitative research. By understanding analysis of variance and the F-test for significance, researchers can draw valid conclusions based on data and improve the quality of evidence-based decision-making.
Co-Authors Aghna, Hannah Panggabean, Hadi Saputra Ramadhani, Mutia