sample size

简明释义

抽样规模

英英释义

例句

1.The sample size must be representative of the entire population to ensure accurate findings.

为了确保结果准确，样本大小必须代表整个群体。

2.In clinical trials, the sample size is often dictated by the expected effect size.

在临床试验中，样本大小通常由预期的效应大小决定。

3.A larger sample size can lead to more reliable conclusions in statistical analysis.

更大的样本大小可以在统计分析中得出更可靠的结论。

4.When conducting a survey, it is crucial to determine the appropriate sample size for valid results.

在进行调查时，确定合适的样本大小对于有效结果至关重要。

5.The researchers decided to increase the sample size to improve the accuracy of their results.

研究人员决定增加样本大小以提高结果的准确性。

作文

In the field of research and statistics, the term sample size refers to the number of observations or replicates included in a statistical sample. A well-defined sample size is critical for ensuring that the results of a study are valid and can be generalized to a larger population. When designing a study, researchers must carefully consider the sample size to achieve reliable results. For instance, if a researcher wants to understand the eating habits of teenagers in a city, they cannot survey every teenager due to time and resource constraints. Instead, they select a sample size that is representative of the entire population. A larger sample size often leads to more accurate estimates of the population parameters, but it also requires more resources and time. Choosing the right sample size involves balancing the need for precision with practical limitations. If the sample size is too small, the results may not accurately reflect the population, leading to erroneous conclusions. Conversely, an excessively large sample size may yield diminishing returns in terms of accuracy and can be wasteful. Therefore, researchers often use statistical formulas to determine the optimal sample size based on the expected effect size, variability in the data, and the desired confidence level. Moreover, the concept of sample size is not solely limited to quantitative studies. In qualitative research, while the focus is on depth rather than breadth, the choice of sample size still plays a crucial role. For example, in interviews or focus groups, selecting an appropriate sample size ensures that diverse perspectives are captured, enhancing the richness of the data collected. In conclusion, the sample size is a fundamental aspect of research design that directly impacts the validity and reliability of findings. Researchers must carefully consider their sample size to ensure that their studies contribute valuable insights to their fields. By understanding the implications of sample size, researchers can better navigate the complexities of data collection and analysis, ultimately leading to more effective and impactful research outcomes.

在研究和统计领域，术语样本大小指的是包含在统计样本中的观察或重复的数量。一个明确定义的样本大小对于确保研究结果的有效性和能够推广到更大人群至关重要。在设计研究时，研究人员必须仔细考虑样本大小以获得可靠的结果。例如，如果一名研究人员想了解某城市青少年的饮食习惯，由于时间和资源的限制，他们无法对每个青少年进行调查。因此，他们选择一个代表整个群体的样本大小。较大的样本大小通常会导致对群体参数的更准确估计，但这也需要更多的资源和时间。选择正确的样本大小涉及在精确需求与实际限制之间取得平衡。如果样本大小过小，结果可能无法准确反映人群，从而导致错误的结论。相反，过大的样本大小可能会在准确性上产生递减收益，并且可能是浪费。因此，研究人员通常使用统计公式来根据预期的效应大小、数据的变异性和所需的置信水平来确定最佳的样本大小。此外，样本大小的概念不仅限于定量研究。在定性研究中，尽管重点在于深度而非广度，但样本大小的选择仍然起着至关重要的作用。例如，在访谈或焦点小组中，选择适当的样本大小可以确保捕捉到多样的观点，增强所收集数据的丰富性。总之，样本大小是研究设计的一个基本方面，直接影响研究结果的有效性和可靠性。研究人员必须仔细考虑他们的样本大小，以确保他们的研究为其领域提供有价值的见解。通过理解样本大小的影响，研究人员可以更好地驾驭数据收集和分析的复杂性，从而最终导致更有效和更具影响力的研究成果。