Which of the following describes the method of sampling in which elements of data are selected randomly from each of the small subgroups within a population?

The correct answer is C. Systematic. Stratified Sampling is a method in which the population is divided into smaller subgroups, or strata, based on characteristics such as age, gender, socioeconomic status, etc. and a random sample is taken from each subgroup. This ensures that each subgroup is represented in the…

Data Analysis

Question

Options

ASimple random
BCluster
CSystematic
DStratified

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A
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B
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C
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D
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Explanation

Stratified Sampling is a method in which the population is divided into smaller subgroups, or strata, based on characteristics such as age, gender, socioeconomic status, etc. and a random sample is taken from each subgroup. This ensures that each subgroup is represented in the sample, so that the sample accurately reflects the diversity within the population. Simple Random Sampling selects elements from the population at random, with no attempt to ensure representation of subgroups. Cluster Sampling involves dividing the population into clusters, and then randomly selecting a number of clusters to be included in the sample. Systematic Sampling involves selecting elements from the population at regular intervals, rather

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#sampling methods#systematic sampling#data collection

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