Antropologia

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Diana Arenas         800893                 
Yezmín Serrano   986449       
Verónica Jasso    997792
Tarea 3- Capítulo 12
Paquete "B":2.-List and describe briefly each of the probability sampling methods described in the chapter.
* Simple Random Sampling: the researcher uses a table of random numbers, random digit dialing , orsome other random selection procedure that guarantees that each member of the population in the sample frame has an identical chance of being selected into the sample.
* Systematic Sampling: Using asimple frame that lists members of the population, the researcher selects a random starting point for the first simple member. A constant “skip interval”, calculated by dividing the number ofpopulation members in the sample frame by the sample size, is then used selected every other sample member from the sample frame. A skip interval must be used such that the entire list is covered, regardlessof the starting point, This procedure accomplishes the same end as simple random sampling, and it is more efficient.
* Cluster Sampling: The sample frame is divided into groups called “clusters”,each of which must be considered to be very similar to the others. The researcher can then randomly select a few clusters and perform a census of each one. Alternatively, the researcher can randomlyselect more clusters and take samples from each one. This method is desirable when highly similar clusters can be easily identified.
* Stratified Sampling: If the population is believed to have askewed distribution for one or more of its distinguishing factors, the researcher identifies subpopulations in the same frame called “strata”. A simple random sample is taken of each stratum.Weighting procedures may be applied to estimate population values such as the mean. This approach is better suited that other probability sampling methods for populations that are not distributed in a...