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Six Types Random Sampling And Example Uses

Examine the six common techniques of sampling and outline the strengths of each approach.

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Basic Concepts of Sampling

Sampling is the process by which inferences is made to the whole by examining a part.

Purpose of Sampling

The purpose of sampling is to provide types of statistical information of qualitative or quantitative nature about the whole by examining a few selected items. The method is the scientific procedure of selecting sampling units which would provide required estimates with certain units, arising from only a part and not the whole.

One sampling method is the simple random sampling where each item of the data ( population) has the same probability of being selected in the sample. The selection is usually made with the help of random numbers. This is the least biased of all sampling techniques, in that there is no subjectivity. Each member of the total population has equal chance of being selected. It can be obtained using random number tables.
For example, there are N= 850 students in a school from which a sample of n = 10 students will be taken. The students are numbered from 1 to 850. The data runs into three digits that uses random numbers containing three digits.
A grid is drawn over a map of the study area.
Random number tables used to obtain coordinates/grid references for the points.
Sampling takes place close to the points.

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Solution Summary

The purpose of sampling is to provide types of statistical information of qualitative or quantitative nature about the whole by examining a few selected items. The method is the scientific procedure of selecting sampling units which would provide required estimates with certain units, arising from only a part and not the whole.

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