Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Usampulishaji Rahisi wa Nasibu× | Sampuli ya Kisistemati× | |
|---|---|---|
| Nyanja | Metodolojia ya Dodoso | Metodolojia ya Dodoso |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | Early 20th century; systematized by Cochran 1953/1977 | Mid-20th century (Cochran 1953; Kish 1965) |
| Mwanzilishi≠ | William Gosset, Jerzy Neyman, and formalized by William Cochran | William G. Cochran; formalized in survey sampling theory |
| Aina | Probability sampling design | Probability sampling design |
| Chanzo asilia | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Majina mbadala | SRS, unrestricted random sampling, equal-probability sampling, EPSEM | interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling |
| Zinazohusiana≠ | 6 | 5 |
| Muhtasari≠ | 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. | Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity. |
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