For example if you had a population of 100 people, each person would have odds of 1 out of 100 of being chosen with non-probability sampling those odds are not equal. Probability sampling is based on the fact that every number of populations has a known and equal chance of being selected. Probability Sampling: Probability sampling uses random sampling techniques to create a sample. Sampling takes on two forms in statistics probability sampling and non-probability sampling which are being as follows: The researcher should determine the size of sample, the method of sampling, the test of sample etc. The selection of sample is very important task. Sampling design defines as the researcher has to make a careful selection of a few elements from the population and then study them intensely and reach conclusion, which can be safely applied to the population. Researcher must select/prepare a sample design which should be reliable and appropriate for his research study. Some designs are relatively more precise and easier to apply than others. There are various sample designs from which a researcher can choose. Sample design determined before data are collected. Sample design may as well lay down the number of items to be included in the sample i.e. It refers to the technique or the procedures the researcher would adopt in selecting items for the sample. A sampling design is definite plan for obtaining a sample from a given population.
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