sampling is very important for researcher
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There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
Probability is a branch of mathematics and so is not linked with any individual and so is anonymous. Random sampling may or may not include information that will allow the contributor to be identified. So it may or may not be anonymous.
simple random sample is to select the sample in random method but systematic random sample is to select the sample in particular sequence (ie 1st 11th 21st 31st etc.)• Simple random sample requires that each individual is separately selected but systematic random sample does not selected separately.• In simple random sampling, for each k, each sample of size k has equal probability of being selected as a sample but it is not so in systematic random sampling.
There is always an element of random error and so an exact answer is not possible.
avantages and disadvantages of mixed sampling are explained by example given below : if we want to take sample of trees in the forest of India for this we will selected the forests by the simple random sampling and after this we will selected the trees by the systematic sampling we can not used simple random sampling here due to not availability of frame of trees.So this is adavantages of mixed sampling. Now if we want to check the relability of whole procedure then we will not check it .So this is disadavantages of mixed sampling.