How do I use the Kolmogorov-Smirnov test on my vectors

I have 10 vectors of the form 3521x1, for every vector I would like to test if it can be rejected that it has a chi2 distribution AND test if I can reject if it has a F-distribution. I would like to get back p-values with regard to the Null Hypothesis, so not a 1 or a 0. Can somebody help me?

[John BG]

Hi Jan-Willem

this is John BG <mailto:[e-mail] [e-mail]>

the reject-comply decision, for probability density functions, implies having defined and error function, and then saying 'it's fairly Chi2' or 'no way it looks like Chi2'.

How do you want to define the error, for each point?

with 2 fitting curves above and below?

with specific error allowances for each histogram bin?