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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Kipimo cha Uhuru wa Chi-kwadrat cha Pearson×Regresheni ya Logistiki×
NyanjaTakwimuTakwimu za Utafiti
FamiliaHypothesis testProcess / pipeline
Mwaka wa asili19001958
MwanzilishiKarl PearsonDavid Roxbee Cox
AinaNonparametric association / goodness-of-fitMethod
Chanzo asiliaPearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables. Philosophical Magazine, Series 5, 50(302), 157–175. link ↗Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗
Majina mbadalachi-squared test, χ² test, Ki-Kare Testi, chi-square testlogit model, binomial logistic regression, LR
Zinazohusiana33
MuhtasariThe chi-square test of independence is a nonparametric hypothesis test that determines whether two categorical variables are statistically associated or independent of one another. Introduced by Karl Pearson in 1900, it remains the standard procedure for analysing contingency tables and requires no assumption of normality — only that observations are independent and that expected cell frequencies are sufficiently large.Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.
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ScholarGateLinganisha mbinu: Chi-square goodness-of-fit test · Logistic Regression. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare