Analisis Varians dan Uji Signifikansi F

Authors

  • Hannah Aghna Universitas Pembangunan Panca Budi, Indonesia
  • Mutia Ramadhani Universitas Pembangunan Panca Budi, Indonesia
  • Naillah Hidayah Universitas Pembangunan Panca Budi, Indonesia
  • Hadi Saputra Panggabean Universitas Pembangunan Panca Budi, Indonesia

DOI:

https://doi.org/10.57235/aurelia.v4i2.6783

Keywords:

Analysis of Variance, ANOVA, F-Test, Statistical Significance, Inferential Statistics

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.

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References

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Published

2025-07-31

Issue

Vol. 4 No. 2 (2025): July 2025

Section

Articles

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