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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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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.
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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.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of 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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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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Sampling Theorem01:15

Sampling Theorem

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In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
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Sampling Soils in a Heterogeneous Research Plot
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Uniform Sampling Table Method and its Applications II--Evaluating the Uniform Sampling by Experiment.

Yibin Chen1, Jiaxi Chen, Xuan Chen

  • 1Shaanxi University of Science and Technology, College of Food and Biotechnology, Xi'an, China.

Journal of AOAC International
|November 4, 2015
PubMed
Summary
This summary is machine-generated.

A novel uniform sampling method offers superior convenience and uniform sample distribution for drug analysis. This method demonstrates high accuracy and reproducibility, making it suitable for practical pharmaceutical applications.

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Area of Science:

  • Pharmaceutical Sciences
  • Analytical Chemistry
  • Quality Control

Background:

  • Traditional sampling methods may lack efficiency and uniformity.
  • Accurate and reproducible drug analysis is crucial for quality control.

Purpose of the Study:

  • To evaluate a new uniform sampling method for drug analysis.
  • To assess its convenience, uniformity, accuracy, and reproducibility compared to standard methods.

Main Methods:

  • Evaluation using items like operational convenience and site distribution uniformity.
  • Indexes included operational complexity and relative accuracy/deviation of pill weight.
  • Gray correlation analysis was used for comprehensive evaluation against a standard method.
  • Experiments conducted on three drug types using four sampling methods.

Main Results:

  • Uniform sampling method achieved 100% convenience and infinite odds ratio for site occupation.
  • Relative accuracy ranged from 99.50-99.89% with reproducibility RSD of 0.45-0.89%.
  • Weighted incidence degree surpassed the standard method, indicating superior performance.

Conclusions:

  • The uniform sampling method is easy to operate with uniform sample distribution.
  • It exhibits excellent accuracy and reproducibility for drug analysis.
  • This method is recommended for practical implementation in pharmaceutical quality control.