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1. Sampling has different concepts based on the requirement and kind of indepth study it is focussing on.
Types of sampling are:
a. Random Sampling: Based on N objects from population and it check through pissiblies by analysing on N cases.
b.Stratified sampling: Based on segmentation and startification of samples
c. Cluster sampling: Every cluster is assigned to one group and then will study based on the cluster intra dn inter characterstics.
d.Multi stage sampling: Stagewise samplng on various preposition and activities.
e.Systematic sampling:The method is different from simple random sampling since every possible sample of nelements is not equally likely.
2. There are basically 10 steps to improve sampling. Firs we need to understand what the sampling is all about and what is the requirement from sampling study. Censure the sampling is very important , so type of sampling and percentage of sampling taken for study is also important. While sampling we could able to centralize it for analyse purpose. Validation for sample collection is very important. Framing the sample and method or approach must be very clear. It can be of random sampling, systematic sampling, cluster analysis or stratified etc. Errors in sampling has to be verified and must decide about deviation percentage. It helps in reducing bias and finally concluded the study based on the interpretation and quality of sample. The output from has to be in subset of the characteristics of the whole population.
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