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相关概念视频

Sample Size Calculation01:19

Sample Size Calculation

3.8K
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...
3.8K
Sample Proportion and Population Proportion01:20

Sample Proportion and Population Proportion

5.7K
Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
5.7K
Contaminants and Errors01:16

Contaminants and Errors

145
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...
145
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.5K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.5K
Margin of Error01:27

Margin of Error

4.5K
The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
4.5K
Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

8.3K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
8.3K

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相关实验视频

Updated: Sep 19, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
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样本大小很重要:在流行研究中评估最低值和合理值.

Volodimir Sarabeev1, Svitlana Shvydka2, Olga Lisitsyna3

  • 1Institute of Parasitology, Slovak Academy of Sciences, Hlinkova 3, 04001 Košice, Slovak Republic; Department of Biology, Zaporizhzhia National University, Universytetska 66, 69011 Zaporizhzhia, Ukraine.

International journal for parasitology
|June 1, 2025
PubMed
概括

确定适当的样本大小对于准确的流行率研究至关重要. 建议至少有16-45个个体,以达到10-90%的患病率,但为了降低不确定性,要达到110-135个.

关键词:
一袋装有小靴带的小袋子启动的中位数置信区间的时间间隔.非参数式的启动.精确度 精确度 精确度 精确度流行程度 流行程度样本大小的确定 样本大小的确定

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Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
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科学领域:

  • 流行病学 流行病学
  • 生物统计学 生物统计学

背景情况:

  • 准确的样本大小估计对于流行研究的有效性至关重要.
  • 流行率估计受样本大小的影响,影响研究结果.

研究的目的:

  • 识别流行率评估中的限制因素.
  • 为确定最低和合理的样本大小提供指导.
  • 分析与样本大小相关的流行性质.

主要方法:

  • 对样本大小和精度的约束分析.
  • 可视化中位数流行率,置信区间和精度变化.
  • 评估作为样本大小的函数的流行性质.

主要成果:

  • 样本大小小于15个个体往往会产生不可接受的精度.
  • 最小的样本大小可以从16个到450多个个体 (1%至99%的流行率).
  • 实际最低限度:采样直到发现5例病例和5例非病例 (除了极端流行情况).
  • 样本大小为110-135个个体,在减少5%-95%的流行率不确定性的回报率下降.

结论:

  • 样本大小的选择应该平衡研究目标,资源和所需的精度.
  • 作者,编辑和审稿人应该考虑样本大小以及实际流行率.
  • 如果没有达到最低样本大小,应承认局限性,因为所有数据都有助于了解病原体分布.