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Related Concept Videos

Sampling Plans01:23

Sampling Plans

1.5K
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

Sampling Methods: Overview

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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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Stratified Sampling Method01:16

Stratified 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. 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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Systematic Sampling Method01:17

Systematic Sampling Method

10.3K
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.
Systematic sampling is one of the simplest methods...
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Cluster Sampling Method01:20

Cluster Sampling Method

11.0K
Appropriate sampling methods ensure 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 cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Convenience Sampling Method00:55

Convenience 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.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
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Sampling Soils in a Heterogeneous Research Plot
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A strategic approach to comprehensive sample management.

F John Mills1, Gregory Swanberg

  • 1BioStorage Technologies Inc. Indianapolis, Indiana.

Biopreservation and Biobanking
|May 22, 2014
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Summary
This summary is machine-generated.

Standardizing research sample management enhances drug discovery efficiency and saves costs. A holistic approach to sample lifecycle management maximizes inventory value for research organizations.

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Area of Science:

  • Drug Discovery
  • Biotechnology
  • Laboratory Management

Background:

  • Research samples are critical for drug discovery.
  • Current siloed sample management leads to inefficiencies and increased costs.
  • Ineffective sample management causes delays in material retrieval and distribution.

Purpose of the Study:

  • To highlight the importance of standardized research sample management.
  • To identify the bottlenecks associated with siloed sample management.
  • To advocate for a holistic approach to sample lifecycle management.

Main Methods:

  • Literature review on current research sample management practices.
  • Analysis of the impact of siloed versus holistic management models.
  • Identification of key stages in the sample lifecycle.

Main Results:

  • Standardized management offers budget savings, cost avoidance, and process efficiencies.
  • Siloed approaches result in delays, extended shipping times, and increased costs.
  • A holistic approach maximizes sample inventory value.

Conclusions:

  • Comprehensive sample management is essential for optimizing research resources.
  • Adopting a holistic strategy improves efficiency and reduces drug development timelines.
  • Maximizing sample inventories through integrated management supports scientific advancement.