Professional scientists are expected to know how to analyze data, but statistical errors are alarmingly common in published research, according to David Vaux, a cell biologist.
细胞生物学家大卫·沃克斯称：“人们认为职业科学家应该懂得如何进行数据分析，但是已出版的研究中的数据错误却极其普遍。”
Statistical error
原声例句
历年考研英语阅读选择真题（英语一）
连线杂志
Question from, CmonMattTHINK, " What are some common statistical errors and how can we learn to spot them and if possible, correct them in others and our own work? "
来自 CmonMattTHINK 的问题，有哪些常见的统计错误，我们如何学会发现它们，如果可能的话，在其他人和我们自己的工作中纠正它们？
中文百科
误差 Errors and residuals
（重定向自Statistical error）
误差(errors)是实验科学术语。指测量结果偏离真值的程度。对任何一个物理量进行的测量都不可能得出一个绝对准确的数值，即使使用测量技术所能达到的最完善的方法，测出的数值也和真实值存在差异，这种测量值和真实值的差异称为误差。数值计算分为绝对误差和相对误差。也可以根据误差来源分为系统误差（又称可定误差、已定误差）、随机误差（又称机会误差、未定误差）和毛误差(又称粗差)。
英语百科
Errors and residuals 误差
（重定向自Statistical error）
In statistics and optimization, errors and residuals are two closely related and easily confused measures of the deviation of an observed value of an element of a statistical sample from its "theoretical value". The error (or disturbance) of an observed value is the deviation of the observed value from the (unobservable) true value of a quantity of interest (for example, a population mean), and the residual of an observed value is the difference between the observed value and the estimated value of the quantity of interest (for example, a sample mean). The distinction is most important in regression analysis, where it leads to the concept of studentized residuals.
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