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It is an observed interval , in principle different from sample to sample, that frequently includes

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the value of an unobservable parameter of interest if the experiment is repeated.

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How frequently the observed interval contains the parameter is determined by the 

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Confidence level or Confidence coefficient.

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Why \"\" confidence level is not used for every study :

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For example, a confidence interval can be used to describe how reliable a survey.

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A larger sample size normally will lead to a better estimate of the population parameter.

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A \"\" confidence interval for the proportion in the whole population having the arguments for

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the random allocation of treatments to study items are made and of how such intervals might be

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interpreted, are not strictly mathematical.  

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Therefore \"\" confidence level is not used for every study.

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Reasoning is explained.