It is tricky to examine the whole population. To save time and money researchers select a small group called sample for best representation of the whole population. Sampling technique is used for choosing sample in the population. Sampling techniques has two types': probability and non-probability. In research the sampling techniques play an important role, for decision making and analysis of data in different fields. In this paper, we have presented a review of sampling techniques from different perspectives, to enable researchers to select a best sampling technique while doing research. After study the review they will come to know which sampling technique is best suited according to the resources (time, money and effort etc.) available in the domain.
CITATION STYLE
Amir, N., Jabeen, F., & Niaz, S. (2020). A Brief Review of Conditions, Circumstances and Applicability of Sampling Techniques in Computer Science Domain. In Proceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/INMIC50486.2020.9318209
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