DnE (version 2.1.0)

is.norm: is.norm

Description

judge if the data obeys normal distribution.

Usage

is.norm(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

Value

if the data possibly obeys normal distribution, return a value named qchisq which represents the possibility. The larger qchisq is, the larger the possibility will be; else return -1.

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 oberservations.

References

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

See Also

is.dt , DnE-package

Examples

require(stats)
examplecheck<-rnorm(100,0,1)
is.norm(examplecheck,10,0.05)
##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.