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1. INTRODUCTION
1.1 SAMPLING
Sampling in simple terms refers to the process in which a researcher chooses her sample for study.
Sampling refers to statistical methods of selection of any individual or relatively smaller number of the relatively larger population to study characteristics of the entire population is used to study characteristics and to draw statistically valid inference about the characteristics of the entire population.
The aim of sampling technique is to provide various types of statistical information of a qualitative nature about the whole by examining a few selected units.
The sampling method is the scientific purpose of selecting those sampling units which would provide the required estimate with associated uncertainty
Economical: Sampling technique should be cheaper and less time taking.
2. Reliability: The conclusion of sample survey can have almost same every time is applied.
3. Continuous detail study: As the sample is small can be repeatedly studied and can be examined multiple times.
4. A conclusion derived from a study of certain unit can be verified from other units. By taking a random sample we determine the amount of deviation from normal.

Drawbacks of sampling techniques:
1. Less accuracy: Conclusion derived are more liable to error.
2. Changeability of unit: Limits are liable to change in the field of surveying.
3. Misleading conclusion: If care is not taken while sampling then conclusion derived from all will be misleading.
4. Lack of specialized knowledge: Sampling can be successful only when expert takes the sample.
5. Sampling not possible: When we need 100% accuracy and when material is of heterogeneous nature.
Steps in the sampling process:
There are following steps involved
Step 1. Define the population: Population of all items or people usually defined prior to sampling. The population is said to be completely defined if at least following terms are specified.
i. Element ii. Sampling unit iii. Extension of sampling unit