- posted and e-mailed.

> The data cluster at the lower bound of the scale--zero and decay to

> the right. I tried box-cox, the zero's still cluster at the far left,

> while other points become kinda symmetric. The transformed

> distribution looks like the below :

> | *

> | * * *

> | * * *** *

> | * ***** ****

> | * * * * * ** ** * * **

> My question is: is there a way to normalize it? How?Thanks.

The appearance of the zeros at the left, followed by

a symmetrical curve, suggests to me that the X scores

fall into two parts.

You can try to add information to get a new X. That

assumes that the X you have is proving to be an

inadequate surrogate for whatever it is intended to measure.

You can split the sample into two parts for analyses; that

is easier to justify if there is natural logic in making two parts.

That also seems to be the way you are going to provide a

concise summary of what you see, above, with X and Y.

If you have further analyses in mind, you can keep these

X and Y scores as they are, and go on from there. You

draw in have the sort of far-outliers that really foul up the

statistical testing.

What are you trying to do with the X and Y?

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