Rankit: Statistics, Order Statistic, Normal Distribution, Normal Probability Plot, Statistical Graphics, Normality Test, Data Set, Cumulative Distribution Function, Random Variable - Couverture souple

 
9786130335373: Rankit: Statistics, Order Statistic, Normal Distribution, Normal Probability Plot, Statistical Graphics, Normality Test, Data Set, Cumulative Distribution Function, Random Variable

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, rankits of a set of data are the expected values of the order statistics of a sample from the standard normal distribution the same size as the data. They are primarily used in the normal probability plot, a graphical technique for normality testing. A graph plotting the rankits on the horizontal axis and the data points on the vertical axis is called a rankit plot (sometimes called normal probability plot). Such a plot is necessarily nondecreasing. In large samples from a normally distributed population, such a plot will approximate a straight line. Substantial deviations from straightness are considered evidence against normality of the distribution.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, rankits of a set of data are the expected values of the order statistics of a sample from the standard normal distribution the same size as the data. They are primarily used in the normal probability plot, a graphical technique for normality testing. A graph plotting the rankits on the horizontal axis and the data points on the vertical axis is called a rankit plot (sometimes called normal probability plot). Such a plot is necessarily nondecreasing. In large samples from a normally distributed population, such a plot will approximate a straight line. Substantial deviations from straightness are considered evidence against normality of the distribution.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.