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Related Concept Videos

Random Sampling Method01:09

Random Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Systematic Sampling Method01:17

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Stratified Sampling Method01:16

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
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Sampling Methods: Overview01:06

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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
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Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
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Sampling Methods: Sample Types01:18

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Sampling materials are classified into three main types: solid, liquid, and gas.
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Related Experiment Video

Updated: May 2, 2026

Sampling Soils in a Heterogeneous Research Plot
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Uniform sampling table method and its applications: establishment of a uniform sampling method.

Yibin Chen, Jiaxi Chen, Wei Wang

    Journal of AOAC International
    |March 21, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel uniform sampling method based on uniform design theory. The method ensures sample representativeness and simplifies usage through mathematical validation and established sampling tables.

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    Area of Science:

    • Statistics
    • Experimental Design

    Background:

    • Traditional sampling methods may not adequately represent the entire sample space.
    • Uniform sampling is crucial for unbiased data collection and analysis.

    Purpose of the Study:

    • To propose a novel uniform sampling method guided by uniform design theory.
    • To ensure the proposed method meets the essential properties of uniform sampling.
    • To provide a simplified and representative sampling approach.

    Main Methods:

    • Analysis of sample distribution to define properties for uniform sampling.
    • Mathematical inference and demonstration for method validation.
    • Establishment of uniform sampling tables for Cn(t2) and Cn(t3).
    • Development of one-dimension and multidimension uniform sampling techniques.

    Main Results:

    • A novel uniform sampling method is proposed and mathematically validated.
    • Uniform sampling tables for Cn(t2) and Cn(t3) have been established.
    • The method is shown to be simpler to use and offers better representativeness.

    Conclusions:

    • The proposed uniform sampling method effectively addresses the requirements of uniform sampling.
    • The method, guided by uniform design theory, offers practical advantages in terms of usability and representativeness.
    • This work contributes a valuable tool for researchers requiring robust uniform sampling strategies.