sampling from population

Taking {sampling}| one value {sample, population} from a population can be random {random sample}. Sample sets {aggregate, population} have number of samples {sample size}.

attributes

Samples have properties {parameter, population} {sampling statistic}, such as weight. Samples have property values {attribute data} {measurement data}, such as high weight. Sampling can infer {statistical inference} population mean, variance, mode, and median.

types

Random samples can have same subgroup proportions as population {stratified random sample}, such as same age distribution.

Sampling can return sampled member to population {sampling with replacement} or not {sampling without replacement}.

subsets

Sample subsets {sample class} share an attribute, such as high weight.

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Mathematical Sciences>Statistics>Statistical Population

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Date Modified: 2022.0224