Related Experiment Video
Updated: Nov 5, 2025
10:56
An Unbiased Approach of Sampling TEM Sections in Neuroscience
Published on: April 13, 2019
7.4K
Sampling theory and sampling uncertainty.
Summary
Chemical measurements aid rational decisions about materials, but both analysis and sampling introduce uncertainty. This uncertainty must be considered for accurate decision-making in various fields.
Area of Science:
- Analytical Chemistry
- Measurement Science
Background:
- Chemical measurements are crucial for informed decision-making in diverse sectors like manufacturing, commerce, and healthcare.
- Decisions rely on understanding the properties of specific 'targets' or masses of material.
Purpose of the Study:
- To highlight the inherent uncertainty in chemical measurements and sampling processes.
- To emphasize the importance of accounting for all sources of uncertainty in decision-making.
Main Methods:
- Discusses the principles of chemical measurement and sampling.
- Explains how uncertainty arises from both the analytical process and sample selection.
Main Results:
- Chemical analysis inherently involves uncertainty.
- Sampling a target material introduces additional, significant uncertainty.
- Both analytical and sampling uncertainties impact the reliability of decisions.
Conclusions:
- All sources of uncertainty, including sampling, must be quantified and considered.
- Accurate decision-making requires a comprehensive understanding of measurement and sampling uncertainty.
Related Concept Videos
01:12Sampling Distribution
15.5K
Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
15.5K
01:16Contaminants and Errors
210
Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
Another key consideration is determining the appropriate number of samples required to...
210
01:15Sampling Theorem
921
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.
921
01:09Random Sampling Method
13.4K
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...
13.4K
01:23Sampling Plans
525
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...
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...
525
01:06Sampling Methods: Overview
904
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...
In analytical chemistry, the choice of...
904