# Sampling Benefit

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Sampling & Benefit

STATISTICS 1 – SHD1713

PN. NORLIZA MOHD SALLEH

PREPARED BY:

SX095479HDD04

SHD1713 – STATISTICS 1 ____________________________________________________________

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Sampling

Sample selection is critical to the validity of the information that represents the populations that are being studied. The approach of the sampling helps to determine the focus of the study and allows better acceptance of the generalizations that are being made. Careful use of biased sampling can be used if it is justified and as long as it is noted that the resulting sample may not be a true representation of the population of the study. There are two different approaches to sampling in survey research:

* There is nonprobability sampling approach. In this approach the researcher does not know each element's probability of selection in the sample. The most commonly used nonprobability sampling method is the convenience sampling approach. With this method, it only samples those who are available and willing to participate in the survey. The use of this approach allows for convenience for the researcher while possibly losing data validity due to the lack of representation.

* The probability sampling approach for research methods gives each element a known chance of being included in the sample. This method is closer to a true representation of the population. It can be difficult to use due to cost of a rigorous sampling method, and difficulty in obtaining full coverage of the target population, but the generalizations that come from it are more likely to be closer to a true representation of the population. Different forms of probability sampling are designed to achieve various benefits - e.g. theoretical simplicity, operational simplicity, detailed information on subpopulations, or minimal cost. Some common forms:

* Equal probability of selection designs (EPS), in which each element of...