Tips, Types and Techniques for Sampling in (Marketing) Research

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Ignatius D
Manager, India
In statistical analysis, a sample is a subset of individuals or objects from a larger population. Sampling is the process used in statistical analysis for selecting a predetermined number of observations (a sample) from a larger population or market that you want to collect data from in your research. For example, if you are researching the opinions of European managers about decision-making, you could survey a sample of 100 European managers. In statistics, sampling allows you to test a hypothesis about the characteristics of a larger, total population. In other words, sampling gives us a gist of the whole population or market. In all of this it is clear that the quality of the results of your (market) research are going to depend on how representative or significant the sample was as compared to the whole population or market. Unless you are extremely lucky. Sampling can be broadly classified into 2 types which are Probability Sampling and Non-Probability Sampling. In Probabili (...) Read more? Sign up for free


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Tips, Types and Techniques for Sampling in (Marketing) Research
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