Linganisha mbinu

	Sampuli ya Quota yenye Uzito	Usampulishaji Rahisi wa Nasibu
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	Mid-to-late 20th century	Early 20th century; systematized by Cochran 1953/1977
Mwanzilishi	Derived from quota sampling (mid-20th century market research) combined with survey weighting theory (Kalton, 1983)	William Gosset, Jerzy Neyman, and formalized by William Cochran
Aina	Non-probability sampling with post-collection weight adjustment	Probability sampling design
Chanzo asilia	Kalton, G. (1983). Introduction to Survey Sampling. Sage Publications. ISBN: 978-0803921290	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Majina mbadala	quota sampling with weighting, weighted quota survey, post-weighted quota sampling, quota sample weighting	SRS, unrestricted random sampling, equal-probability sampling, EPSEM
Zinazohusiana	5	6
Muhtasari	Weighted quota sampling combines quota sampling — recruiting a set number of respondents matching pre-specified demographic cells — with post-collection statistical weighting that adjusts each respondent's contribution to match known population proportions. The result is a non-probability design with a bias-correction mechanism, widely used in market research, political polling, and applied social surveys when probability sampling is impractical but representativeness remains a goal.	Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.