পদ্ধতির তুলনা করুন

	ফ্যাক্টোরিয়াল A/B টেস্ট	ফ্যাক্টোরিয়াল এক্সপেরিমেন্ট
ক্ষেত্র	পরীক্ষামূলক নকশা	পরীক্ষামূলক নকশা
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	Factorial design: 1920s–1930s; applied online as factorial A/B test: 2000s–2010s	1926–1935
প্রবর্তক	Ronald A. Fisher (factorial design); digital A/B testing popularized by Google, Microsoft, and Amazon in the 2000s	Ronald A. Fisher
ধরন	Controlled online/field experiment	Quantitative experimental design
মৌলিক উৎস	Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing. Cambridge University Press. ISBN: 978-1108724265	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
অপর নাম	factorial split test, multi-factor A/B test, factorial online experiment, factorial controlled experiment	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
সম্পর্কিত	6	6
সারসংক্ষেপ	A factorial A/B test is a controlled online experiment that simultaneously manipulates two or more independent factors, each at two or more levels, exposing different user groups to every combination of factor levels. Rooted in Fisher's factorial design and operationalised at scale by tech companies, it enables researchers to estimate both the independent main effect of each factor and the interaction effects between factors — all from a single experimental run.	A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect.