A probability density must integrate to 1. The specific values of the density can be either more or less than 1. -roger faisal99 at inf.its-sby.edu wrote:> hi everyone, > I'm still a newbie in statistics, > > I have a question about beta distribution, that is, > > On the ref/tutorials I've found on the net, why beta distribution always > have value p(x) more than 1? > As I know, any probability density function always have value not more > than 1? > > is there any one who can explain to me, I'm not statistics people, but I > need to code that needing some of this distribution function. > > thx before > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html >
<faisal99 <at> inf.its-sby.edu> writes: : : hi everyone, : I'm still a newbie in statistics, : : I have a question about beta distribution, that is, : : On the ref/tutorials I've found on the net, why beta distribution always : have value p(x) more than 1? Consider the uniform distribution on the interval (0, 1/a) whose probability density graph is a horizontal line at a. If a > 1 then the probability density is greater than 1 for every point of its support showing the the density can indeed exceed 1. : As I know, any probability density function always have value not more : than 1? : : is there any one who can explain to me, I'm not statistics people, but I : need to code that needing some of this distribution function. :
faisal99@inf.its-sby.edu
2005-Mar-21 03:15 UTC
[R] newbie question about beta distribution
hi everyone, I'm still a newbie in statistics, I have a question about beta distribution, that is, On the ref/tutorials I've found on the net, why beta distribution always have value p(x) more than 1? As I know, any probability density function always have value not more than 1? is there any one who can explain to me, I'm not statistics people, but I need to code that needing some of this distribution function. thx before