Examples of using Normal probability in English and their translations into Spanish
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Normal probability distribution.
For this purpose normal probability paper must be used.
Normal probability distributions.
Apéndice A: Areas under the standard normal probability distribution.-- B.
Normal probability plot of the residuals.
Heights can be modeled with a normal probability density function.
A normal probability plot may also be useful.
Which follows as a consequence of symmetry in the normal probability density function.
Normal probability distribution raises the explanation.
One easily demonstrated property of the cumulative normal probability function is.
Display a normal probability plot of the effects.
Display the Anderson-Darling statistic on the normal probability plot of the residuals.
Normal probability plot- Wikipedia, the free encyclopedia.
Key output includes control charts, normal probability plot, and capability indices.
The normal probability plot indicates that data are normally distributed.
It addresses topics such as the value of money over time,the applications of cash flow discounts and the binomial and normal probability distributions.
N(.)$ is the normal probability distribution function.
Anderson-Darling test Cramér-von Mises criterion D'Agostino's K-squared test Kolmogorov-Smirnov test Lilliefors test Normal probability plot Shapiro-Francia test Shapiro, S. S.; Wilk, M. B. 1965.
In this normal probability plot, the points generally follow a straight line.
When it is assumed that the error term is distributed according to the standard normal distribution,λ is measured as the ratio of the standard normal probability density function to the cumulative density function.
The normal probability plot is a special case of the probability plot.
In writing out the likelihood function, we first define an indicator function I( y j){\displaystyle I(y_{j})} where: I( y j){ 0 if y j≤ y L, 1 if y j> y L.{\displaystyle I( y_{ j})={\ begin{ cases} 0&{\ text{ if}}y_{j}\leq y_{L}, \\1&{\text{if}} y_{ j}> y_{ L}.\end{cases}}} Next, let Φ{\displaystyle\Phi} be the standard normal cumulative distribution function and φ{\displaystyle\varphi}to be the standard normal probability density function.
In this normal probability plot, the residuals appear to generally follow a straight line.
The normal probability plot of the residuals should approximately follow a straight line.
The normal probability plot shows the percent of acceptances for each reference value.
When this is done for normal probability(Q-Q) plots, a formal test can be obtained that is essentially equivalent to the powerful Shapiro-Wilk test W and its approximation W.