So sánh phương pháp

	Kiểm định A/B (Thử nghiệm kiểm soát trực tuyến)	Kiểm định Chi-bình phương độc lập
Lĩnh vực	Thiết kế thí nghiệm	Thống kê
Họ	Hypothesis test	Hypothesis test
Năm ra đời	1935	1900
Người khởi xướng	Ron Kohavi et al. (Microsoft); conceptual roots in R. A. Fisher's randomized experiments (1935)	Karl Pearson
Loại	Parametric comparison (frequentist or Bayesian)	Nonparametric test of association
Công trình gốc	Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing. Cambridge University Press. ISBN: 9781108724265	Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175.
Tên gọi khác	split test, controlled experiment, two-variant test, A/B Testi (Online Kontrollü Deney)	chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi
Liên quan	4	2
Tóm tắt	An A/B test is a randomized controlled experiment that simultaneously exposes two groups of users to a control variant (A) and a treatment variant (B) in order to determine whether a measured outcome differs significantly between them. The modern online controlled experiment framework was systematized by Ron Kohavi and colleagues at Microsoft in the early 2000s, building on R. A. Fisher's classical randomization principles from 1935. It is the dominant causal inference tool in web product development, digital marketing, and experimentation platforms.	The chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequencies in a cross-tabulation. It rests on the chi-square criterion introduced by Karl Pearson in 1900.