Traducción y análisis de palabras por inteligencia artificial
En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:
- cómo se usa la palabra
- frecuencia de uso
- se utiliza con más frecuencia en el habla oral o escrita
- opciones de traducción
- ejemplos de uso (varias frases con traducción)
- etimología
normal probability paper - traducción al ruso
вероятностная бумага для нормального распределения
![[[Gerolamo Cardano]] (16th century)](https://commons.wikimedia.org/wiki/Special:FilePath/Cardano.jpg?width=200 "[[Gerolamo Cardano]] (16th century)")
![[[Christiaan Huygens]] published one of the first books on probability (17th century)](https://commons.wikimedia.org/wiki/Special:FilePath/Christiaan Huygens-painting.jpeg?width=200 "[[Christiaan Huygens]] published one of the first books on probability (17th century)")
.svg?width=200 "The probabilities of rolling several numbers using two dice.")
[imprɔbə'biliti]
существительное
общая лексика
невероятность
неправдоподобие
невероятность, неправдоподобие
Wikipedia
The normal probability plot is a graphical technique to identify substantive departures from normality. This includes identifying outliers, skewness, kurtosis, a need for transformations, and mixtures. Normal probability plots are made of raw data, residuals from model fits, and estimated parameters.
In a normal probability plot (also called a "normal plot"), the sorted data are plotted vs. values selected to make the resulting image look close to a straight line if the data are approximately normally distributed. Deviations from a straight line suggest departures from normality. The plotting can be manually performed by using a special graph paper, called normal probability paper. With modern computers normal plots are commonly made with software.
The normal probability plot is a special case of the Q–Q probability plot for a normal distribution. The theoretical quantiles are generally chosen to approximate either the mean or the median of the corresponding order statistics.
