Sampling (statistics)
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High Quality Content by WIKIPEDIA articles! Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. Researchers rarely survey the entire population for two reasons(Adèr, Mellenbergh, & Hand, 2008): (1) The cost is too high and (2) The population is dynamic, i.e., the component of population could change over time. There are three main advantages of sampling: (1) The cost is lower, (2) Data collection is faster, and (3) It is…mehr

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High Quality Content by WIKIPEDIA articles! Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. Researchers rarely survey the entire population for two reasons(Adèr, Mellenbergh, & Hand, 2008): (1) The cost is too high and (2) The population is dynamic, i.e., the component of population could change over time. There are three main advantages of sampling: (1) The cost is lower, (2) Data collection is faster, and (3) It is possible to ensure homogeneity and to improve the accuracy and quality of the data because the data set is smaller.