PROPORTIONAL SAMPLE Meaning and
Definition
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A proportional sample refers to a specific sampling technique utilized in statistical analysis. In this method, a sample is collected from a population in a manner that reflects the proportions or ratios of different subgroups within that population. The aim is to ensure that the sample is representative and accurately represents the various characteristics of the population being studied.
To achieve a proportional sample, the researcher first identifies the distinct subgroups in the population and determines their relative sizes or proportions. Next, the sample size is determined based on the desired level of precision and the representation of each subgroup in the population. The sample is then collected by selecting individuals from each subgroup in proportion to their representation in the overall population.
For instance, suppose a researcher intends to study the purchasing behavior of a population consisting of three age groups: teenagers, young adults, and middle-aged individuals. If teenagers comprise 40% of the population, young adults 30%, and middle-aged individuals 30%, a proportional sample would aim to select participants in such a way that the sample includes individuals in the same proportions (40% teenagers, 30% young adults, and 30% middle-aged).
The advantage of using a proportional sample is that it provides a representative representation of different subgroups in the population. This allows researchers to draw conclusions and make inferences about the entire population with greater accuracy and confidence.
Common Misspellings for PROPORTIONAL SAMPLE
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Etymology of PROPORTIONAL SAMPLE
The term "proportional sample" consists of two separate words: "proportional" and "sample".
The word "proportional" comes from the Latin word "proportionalis", which is derived from the Latin word "proportio" meaning "proportion". It was originally used in mathematics to describe the relationship of one quantity to another or ratios between different parts of a whole.
The word "sample" comes from the Middle English word "sampler", which means "example, pattern, or specimen". It evolved from the Latin word "exemplum", which means "example" or "model".
In the context of research and statistics, a "proportional sample" is a representative subset taken from a larger population with each subgroup or category represented in proportion to its presence in the original population. This sampling method ensures that the sample accurately reflects the characteristics of the population being studied.
Similar spelling words for PROPORTIONAL SAMPLE
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