cluster sampling - Axtarish в Google
7 сент. 2020 г. · Cluster sampling involves dividing a population into clusters, and then randomly selecting a sample of these clusters.
Кластерная выборка Кластерная выборка
В статистике кластерная выборка - это план выборки, используемый, когда в статистической совокупности очевидны взаимно однородные, но внутренне гетерогенные группы. Часто используется в маркетинговых исследованиях. Википедия (Английский язык)
In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical ...
Cluster sampling is a probability sampling technique where researchers divide the population into multiple groups (clusters) for research. What is Cluster Sampling? · Types of Cluster Sampling
Cluster sampling is a survey sampling method wherein the population is divided into clusters, from which researchers randomly select some to form the sample.
31 июл. 2023 г. · A cluster sample is a sampling method where the researcher divides the entire population into separate groups, or clusters. Techniques · Applications · How to Cluster Sample
Cluster sampling is a sampling technique that divides a population into groups, or, 'clusters'. Clusters are then randomly selected to make up your total ...
Cluster sampling is a probability-sampling design that capitalizes on naturally occurring groups, or clusters, in the population.
31 янв. 2023 г. · Cluster sampling is a method of collecting data from a large population by dividing it into smaller groups, or clusters.
Cluster sampling is a statistical method used when studying large populations, especially when individual elements are not easily accessible.
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