Linganisha mbinu

	Sampuli Rahisi ya Bahati Nasibu mtandaoni	Usampulishaji Rahisi wa Nasibu
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	Late 1990s–2000s (digital adaptation)	Early 20th century; systematized by Cochran 1953/1977
Mwanzilishi	Adapted from classical simple random sampling (Neyman, 1934) for web/digital survey contexts; operationalised by survey methodology researchers from the late 1990s onward	William Gosset, Jerzy Neyman, and formalized by William Cochran
Aina	Probability sampling design	Probability sampling design
Chanzo asilia	Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521700535	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Majina mbadala	web simple random sampling, internet SRS, digital random sampling, online SRS	SRS, unrestricted random sampling, equal-probability sampling, EPSEM
Zinazohusiana	5	6
Muhtasari	Online simple random sampling applies the logic of classical simple random sampling (SRS) to digital data collection: every member of a defined online population has an equal and independent probability of being selected, and the survey is administered via web platform, email link, or online panel. The approach combines the statistical rigour of probability sampling with the speed and cost advantages of internet-based survey delivery.	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.