Null means null. A terifying habit is to state in error that the primary hypothesis is null when it is not. For example:
Dennis Roberts <[EMAIL PROTECTED]> wrote:
"I would say the null is .75 ..."
What he meant was that the primary hypothesis was that drive in percent =0.75. This distinction is essential when we come to choose among methods of testing. Hypotheses must always be converted to null form before permutation methods are employed.One also ought take in consideration the alternate hypotheses before making a recommendation as to the method and statistic to employ. Are they one-sided or two sided? Ordered or unordered? Is the loss function first-order, second-order, mini-max, or something else?
Phillip Good
author, Common Errors in Statistics and How to Avoid Them.
Phillip Good
http.ms//www.statistician.usa
"Never trust anything that can think for itself if you can't see where it keeps its brain." JKR
http.ms//www.statistician.usa
"Never trust anything that can think for itself if you can't see where it keeps its brain." JKR
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