The equal probability of selection is commonly applicable in surveys that are rapid, and it results in samples that are self-weighted (Frerichs, 2014). The population under study always gets equal chances when the researcher uses the equal probability of selection in the selection of the samples. The equal probability of selection is applicable in developing inferences for statistics, realizing a sample that represents other specimens, and reducing the bias of sampling. Additionally, it can be relevant to the selection of units by use of the methods of probability and in achieving the probability sampling standard. For instance, when examining the career preferences of students in a particular college, the students would be the units for the research while all the students in the college will be the population. The students’ career selections would be the reflection of the phenomenon which is the focus of the study. If the study decides to sample two hundred students, then the size of the sample will be two hundred units. The study will then pick samples at random from the population without any replacements. As such, the sample will have a combination of students from the population.
Importance of Equal Probability of Selection
Some of the examples of this type of probability are that it ensures that the research gets the right sample by choosing the population that can tackle the area of interest. Additionally, such a study will make sure that it covers every population’s member of the study in a manner that makes all the members to be sampled (Knowledge Networks, n.d). The result of the selection probability ensures that the exercise is adequate and complete. Alternatively, it's significant to understand that member’s selection on the population will not be haphazard or from the individuals who volunteer to participate but rather, every individual will have a chance that is measurable and one which proves to be scientific.
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References
Frerichs, R., R. (2014). Equal Probability of Selection. Retrieved from http://www.ph.ucla.edu/epi/rapidsurveys/RScourse/chap4rapid_2004.pdf
Knowledge Networks. (n.d). The Importance of Probability Sampling. Retrieved from http://www.knowledgenetworks.com/sb/docs/The-Importance-of-Probability-Sampling-and%20KN-Weighting-SD.pdf
