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SAMPLING TECHNIQUES INTRODUCTION

SAMPLING TECHNIQUES INTRODUCTION Many professions (business, government, engineering, science, social research, agriculture, etc.) seek the broadest possible factual basis for decision-making. In the absence of data on the subject, a decision taken is just like leaping into the dark. SAMPLING is a procedure, where in a fraction of the data is taken from a large set of data, and the inference drawn from the sample is extended to whole group. [Raj, p4] The surveyor s (a person or a establishment in charge of collecting and recording data) or researchers initial task is to formulate a rational justification for the use of SAMPLING in his research. If SAMPLING is found appropriate for a research, the researcher, then: (1) Identifies the target population as precisely as possible, and in a way that makes sense in terms of the purpose of study.

drawn from N units is given by the combinatorial formula [Cochran, p18] - Objective: To select n units out of N, such that each number of combinations has an …

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