Verba Volant 30-01-02,
Every day a new quotation translated into many languages.
_
Quotation of the day:
Author -
Friedrich
Hegel
English - have the courage to be mistaken
Italian - abbiate il valore di sbagliarvi
Spanish - tened el valor de equivocaros
French - ayez le courage
Linda [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
I have 1000 observations of 2 RVs from an experiments. X is the
independent variable and Y is the dependent variable. How do I perform
the test whether the following statement is true or not??
In some disciplines (psych, ed, nursing, etc), Research Methods is taught as
another course. However, both courses should identify the relation between
course contents.
G Robin Edwards wrote:
In article uon58.2302$[EMAIL PROTECTED],
Donald Macnaughton [EMAIL PROTECTED] wrote:
At great
experimental design, whose basic principles are rather simple, is elegant
and if applied in good ways, can be very informative as to data, variables
and their impact, etc.
but, please hold on for a moment
when it comes to humans, we have developed some social policies that say:
1.
A student wants to know how one can calculate the
area under the curve for skewed distributions. Can someone give me an
answer about when a distribution is too skewed to use the z table?
Melady
Melady Preece wrote:
A student wants to know how one can calculate the area under the curve
for skewed distributions. Can someone give me an answer about when a
distribution is too skewed to use the z table?
You can only use the z table directly to find the area under a curve
unless you had a table comparable to the z table for area under the normal
distribution ... for EACH different level of skewness ... an exact answer
is not possible in a way that would be explainable
here is one example that may help to give some approximate idea as to what
might happen
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On 30 Jan 2002 08:02:51 -0800, [EMAIL PROTECTED] (Melady Preece)
wrote:
A student wants to know how one can calculate the area under the
curve for skewed distributions. Can someone give me an answer about
when a distribution is too skewed to use the z table?
It would be convenient if there
Look at minitab's trimmed mean. It is a Tukey (I think) invention
w/5% chopped from each end, leaving the central 90%. For the high
variance, high skew, common world, a good approach.
On Tue, 29 Jan 2002, Rich Ulrich wrote:
On 17 Jan 2002 00:05:02 -0800, [EMAIL PROTECTED] (Hekon) wrote:
here is an example from minitab ... in moore and mccabe's book intro. to
practice of statistics ... 3rd edition ... they have an example of speed of
light measurements ... with newcomb in his lab on the bank of the potomac
... bouncing light bursts off the base of the washington monument ...
Walter Willett has a whole chapter on this subject in his book Nutritional
Epidemiology. It should be considered required reading before attempting to
model anything that has to do with diet.
Thanks this is a really good book, not just for ppl wanting to study
nutrition but surveys in
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Almost by definition, if it is skewed enough to be notable, it is too skewed
to force into a symmetric z table (which is a Normal dist.)
Not to be facetious, but how close is 'close enough'?
If you are lucky enough to find some sort of transformation that brings
it back to a Normal, then
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