পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| পূর্ণ ফ্যাক্টোরিয়াল পরীক্ষামূলক নকশা× | দ্বিমুখী ভেদাঙ্ক বিশ্লেষণ (দ্বিমুখী ANOVA)× | |
|---|---|---|
| ক্ষেত্র≠ | পরীক্ষামূলক নকশা | পরিসংখ্যান |
| পরিবার | Hypothesis test | Hypothesis test |
| উদ্ভবের বছর≠ | 1926 | 1925 |
| প্রবর্তক≠ | R. A. Fisher | Ronald A. Fisher |
| ধরন≠ | Parametric factorial experiment | Parametric factorial mean comparison |
| মৌলিক উৎস≠ | Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley. ISBN: 978-0471718130 | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 |
| অপর নাম≠ | factorial experiment, 2^k factorial, full factorial, Faktöriyel Deneme Deseni (Full Factorial, 2^k) | factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA |
| সম্পর্কিত≠ | 5 | 6 |
| সারসংক্ষেপ≠ | A full factorial design is a parametric experimental method in which every combination of factor levels is tested simultaneously, enabling the estimation of all main effects and all interaction effects in a single study. Rooted in R. A. Fisher's foundational work on designed experiments (1926) and systematically developed by Box, Hunter, and Hunter (2005) and Montgomery (2017), the 2^k form tests k two-level factors across 2^k experimental runs and is the benchmark against which all other factorial designs are measured. | Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors. |
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