An outlier refers to a value in a data set that is significantly different from the others in the same set. In statistics, outliers can skew results and may indicate variability in the measurements or possible anomalies. The term is also used in various contexts, such as in business, sociology, and psychology, to describe individuals or results that diverge from the norm or expected patterns.
The outlier in the study skewed the average results significantly.
El valor atípico en el estudio sesgó significativamente los resultados promedio.
While most of the students performed well, there was one outlier who failed the exam.
Mientras que la mayoría de los estudiantes tuvieron un buen desempeño, hubo un valor atípico que no aprobó el examen.
An outlier in this financial report suggests that some irregularity occurred.
Un valor atípico en este informe financiero sugiere que ocurrió alguna irregularidad.
While "outlier" is not as commonly found in idiomatic expressions, it is often used in contexts to emphasize deviation from the norm. Here are some relevant expressions:
"Outlier behavior": Refers to actions or choices that differ drastically from societal norms.
Su comportamiento fue un ejemplo de comportamiento atípico en nuestra comunidad.
(His behavior was an example of outlier behavior in our community.)
"Statistical outlier": Used in data analysis to indicate deviations that can influence the results of statistical methods.
Identificamos un outlier estadístico que impactó nuestras conclusiones.
(We identified a statistical outlier that impacted our conclusions.)
"Outlier in society": Describes a person who does not conform to societal expectations.
Ella siempre ha sido un outlier en la sociedad, eligiendo seguir su propio camino.
(She has always been an outlier in society, choosing to follow her own path.)
The term outlier originated from the combination of "out" and "lier," where "lier" means "one who lies." The use of the term in statistical contexts became prevalent in the late 19th century, reflecting values that lie outside the norm of a data distribution.