Nota: La traducción de esta entrada está actualmente en revisión de calidad, por lo que parte del contenido se muestra temporalmente solo en inglés.
Esta entrada aún no se ha traducido a tu idioma, así que se muestra el original a continuación.
normal distribution
This term describes a specific bell-shaped curve where the majority of data points cluster around the central average. It is a cornerstone of statistics, often used to model natural phenomena such as human height, IQ scores, or measurement errors, where extreme values become increasingly rare as they move away from the mean.
In professional and academic contexts, it is frequently referred to as the Gaussian distribution, named after Carl Friedrich Gauss. Users should be aware that while many datasets appear normal, applying the assumption of a normal distribution to skewed data can lead to significant analytical errors in hypothesis testing.
Meanings
Examples
The test scores for the entire class follow a normal distribution.
I wonder if the weight of these apples fits a normal distribution.
Most biological traits are assumed to have a normal distribution.
Most biological traits are assumed to have a normal distribution.
We need to check if the data is skewed or if it shows a normal distribution.
The bell curve is simply a visual representation of a normal distribution.
The bell curve is simply a visual representation of a normal distribution.
Does this sample actually exhibit a normal distribution?
The error terms in the model are expected to follow a normal distribution.
Standardizing the data allows us to treat it as a normal distribution.
The IQ scores of the general population typically form a normal distribution.
The IQ scores of the general population typically form a normal distribution.