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相关概念视频

Sampling Distribution01:12

Sampling Distribution

12.4K
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...
12.4K
Sample Size Calculation01:19

Sample Size Calculation

3.3K
Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
3.3K
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

217
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
217
Sampling Plans01:23

Sampling Plans

181
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...
181
Cluster Sampling Method01:20

Cluster Sampling Method

11.9K
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...
11.9K
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...
10.3K

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相关实验视频

Updated: Jun 29, 2025

Sampling Soils in a Heterogeneous Research Plot
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Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

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具有动态样本大小的广泛分布的样本.

Blair Robertson1, Chris Price1, Marco Reale1

  • 1School of Mathematics and Statistics, University of Canterbury, Private Bag 4800, Christchurch, NZ.

Biometrics
|April 9, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的空间采样方法,用于精确估计人口参数. 这种新的方法确保样本在各种辅助空间中分布得很好,从而提高了调查的准确性.

关键词:
环境采样环境采样线性赋值是一个线性赋值.过量采样 过量采样空间平衡 空间平衡

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An Unbiased Approach of Sampling TEM Sections in Neuroscience
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相关实验视频

Last Updated: Jun 29, 2025

Sampling Soils in a Heterogeneous Research Plot
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Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

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Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
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科学领域:

  • 空间统计的空间统计.
  • 调查方法 调查方法
  • 生态采样 生态采样

背景情况:

  • 有效的空间抽样设计对于精确估计人口参数至关重要.
  • 空间平衡或分布良好的设计可以在响应变量表现出空间趋势时提高精度.
  • 现有方法在任意辅助空间和主采样应用中可能存在局限性.

研究的目的:

  • 提出一种新的空间采样方法,用于在任意辅助空间上生成分布良好的样本.
  • 为了实现总体抽样应用,并提高人口参数估计的精度.
  • 为了促进多用途调查,从单个样本中估计多个响应变量.

主要方法:

  • 提出了一种新的空间采样方法,只需要测量人口单位之间的距离.
  • 该方法旨在在任意的辅助空间中绘制分布良好的样本.
  • 它适用于总抽样和多用途调查设计.

主要成果:

  • 数值结果表明,拟议的方法产生了广泛分布的样本.
  • 新的设计与现有的空间采样方法相比较有利.
  • 巴西亚马逊东部的一个应用例子,使用辅助变量成功估计了地表生物质.

结论:

  • 拟议的空间采样方法有效地在任意辅助空间上生成分散的样本.
  • 这种方法为提高生态和多用途调查的精度提供了有价值的工具.
  • 该方法在大规模生物质估计和各种环境调查中显示出实际实用性.