# is.dt: is.dt In DnE: Distribution and Equation

## Description

judge the distribution of the data.

## Usage

 `1` ```is.dt(x, m, a) ```

## Arguments

 `x` data `m` the number of intervals you want to divide the data in, default value is 10 `a` significance level

## Details

Given a set of observations from a certain distribution, this function is used to test whether the observations are from a distribution of normal distribution or not. Usually, to ensure the function works well, the sample size needs to be large enough, i.e. the result will be stable if the sample size is larger than 100. The function will work better if the number of intervals you choose to divide the data in is between 10 and 20. This number cannot excess the number of given oberservation.

## Value

the distribution of the data

## Author(s)

JunYao Chen, CuiYi He, BoXian Wei

## References

ROBERT V. HOGG/ALLEN T. CRAIG (Fifth Edition) Introduction Mathematical Statistics.

`DnE-package` , `is.bern` , `is.beta` , `is.binom` , `is.chisq` , `is.degen` , `is.exp` , `is.f` , `is.gamma` , `is.geom` , `is.nbinom` , `is.norm` , `is.pois` , `is.t` , `is.unif`
 ```1 2 3 4 5``` ```require(stats) x=rnorm(100) is.dt(x,10,0.05) #@@@@ dis pr #@@@@4 norm 0.007222132 ```