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1. RITU M.COM(E-COM) SAMPLING

5. PRINCIPLES OF SAMPLING Principle of ‘Statistical Regularity’ ,and Principle of ‘Inertia of Large Numbers’.

6. METHOD OF SAMPLING when a sample is required to be reflected from a population ,it is necessary to decide which method should be applied . The various method of sampling or sampling design can be grouped under the head as random sampling and non-sampling . Random sampling referred to as probability sampling since if the sampling process is random ,the law of probability can be applied ;thus the pattern of sampling distribution needed to interpret and evaluate a sample is provided. Non –random sampling is selected on basis other than probability considerations such as expert judgment ,convenience or some critria . The most important aspect of non –sampling worth nothing is that its subject to sampling variability but there is no way of knowing the pattern of variability in the process.

7. A) Random sampling method: (i)Simple Random Sampling (ii)Stratified Sampling (iii)Systematic Sampling (iv)Multi-stage Sampling B)Non-random sampling method: (i) Judgment Sampling (ii)Quota Sampling (iii)Convenience Sampling.

9. Less cost

10. More reliable results

11. More detailed information

13. The service of experts

14. At times the Sampling plan may be so complicated that requires more time,labour and money than a complete count.

15. If the information is required for each and every unit in the domain of study, a complete enumeration survey is necessary.