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抽样误差英文解释翻译、抽样误差的近义词、反义词、例句

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英语翻译:

【计】 sampling error
【医】 sampling error
【经】 sampling error

相关词条:

1.errorsofsampling  

分词翻译:

抽样的英语翻译:

sample
【计】 sampling
【化】 samples drawn
【医】 sampling
【经】 sample; sampling; specimen

误差的英语翻译:

error
【计】 booboo; E; errors
【化】 deviation; error
【医】 error
【经】 error

网络扩展解释

抽样误差

抽样误差的中文拼音为 “chōu yàng wù chā”,它是指在从总体中随机抽样一部分进行调查或研究时,由于样本的有限性,使得结果与总体真实值之间存在的差异。抽样误差是任何形式的调查或研究中难免的一种误差。

英语解释翻译

In English, “抽样误差” is translated as “Sampling Error”. It refers to the difference between a sample statistic and its corresponding population parameter. This error occurs in all forms of surveys or research due to the limited nature of the sample.

英文读音

The English pronunciation of “Sampling Error” can be phonetically transcribed as “ˈsæmplɪŋ ˈɛrər”.

英文用法

The term “Sampling Error” is commonly used in the field of statistics and research. It is a fundamental concept that is essential in both quantitative and qualitative research. Understanding sampling error is crucial because it allows researchers to draw accurate inferences about the population based on their sample data.

英文例句

1. Due to the limited size of the sample, the results obtained from the survey may be affected by sampling error.
2. The researcher needs to take into account the presence of sampling error when interpreting the findings.
3. Sampling error is an inevitable part of any form of research that involves sampling from a larger population.

英文近义词

The following are some synonyms that can be used in place of “Sampling Error”:
1. Margin of Error – refers to the amount of error that is allowed in survey results.
2. Random Error – refers to the unpredictable variations that can occur during sampling.
3. Statistic Error – refers to the difference between a computed statistic and the true population parameter.

英文反义词

The opposite of “Sampling Error” is “Non-sampling Error”. Non-sampling errors refer to errors that occur in the course of collecting, recording, processing, and analyzing data that are unrelated to the sample sizes. Examples of non-sampling errors include data entry errors, measurement errors, and biases in data collection methods.

英文单词常用度

“Sampling Error” is a frequently used term in the field of research and statistics. It is a fundamental concept that is essential in designing and interpreting research studies. Its commonness is reflected in its high frequency of usage in research journals, academic papers, and statistical reports.

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