Robert Ehrlich <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> Calculation of eigenvalues and eigenvalues requires no assumption.
> However evaluation of the results IMHO implicitly assumes at least a
> unimodal distribution and reasonably homogeneous variance
Monica De Stefani <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> 2) Can Kendall discover nonlinear dependence?
He used to be able to, but he died.
(Look at how Kendall's tau is calculated. Notice that it is
not affected by any monotonic increasing transforma
Kelly wrote:
>
> Hi, I'm trying to calculate sample size using the sample size formula
> for simple random sampling, which requires an estimate of the
> variance. But I don't know the variance, instead I wan't to use the
> maximum varince the random variable can take. I know the range of the
> va
W. D. Allen Sr. <[EMAIL PROTECTED]> wrote in message
4BvR6.7100$[EMAIL PROTECTED]">news:4BvR6.7100$[EMAIL PROTECTED]...
> Only from the education field do we hear the statement that over ninety
> percent of students ranked above the median! The statement was made on TV.
Depends on which students
dennis roberts <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> if anyone enjoys old cars ... really old cars ... and needs a 5 minute
> break from your daily work tedium ... have a look at
>
> http://community.webshots.com/user/dennisroberts111
>
> taken memori
David Heiser <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> We seem to have a lot of recent questions involving combinations, and
> probabilities of combinations.
>
> I am puzzled.
>
> Are these concepts no longer taught as a fundamental starting point in stat
Giuseppe Andrea Paleologo wrote:
>
> I am dealing with a simple conjecture. Given two generic positive random
> variables, is it always true that the sum of the quantiles (for a given
> value p) is greater or equal than the quantile of the sum?
>
> In other words, let X, Y be positive random var
James Ankeny wrote:
>
[snip]
>Please tell me if this is way off, but when they say
> that a binomial rv may be normal for large n, it seems like this would only
> be true if they were talking about a sampling distribution where repeated
> samples are selected and the number of successes calculate
Michael Scheltgen <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> Suppose X1, X2, X3, and X4 have a multivariate Normal Dist'n
> with mean vector u,
> and Covariance matrix, sigma.
>
> (a) Suppose it is known that X3 = x3 and X4 = x4. What is:
>
> 1)The expect
W. D. Allen Sr. <[EMAIL PROTECTED]> wrote in message
nH9u6.6370$[EMAIL PROTECTED]">news:nH9u6.6370$[EMAIL PROTECTED]...
> A common mistake made in statistical inference is to assume every data set
> is normally distributed. This seems to be the rule rather than the
> exception, even among profess
yogab <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
>
> Hello all.,
>
> Iam using mutivariate normality test (Mardia 1974) to check for
> normaility for my sample set of size 1000 (multivariate data).
>
> It seem to pass multivaiate kurtosis testing (higher p v
Neo Sunrider <[EMAIL PROTECTED]> wrote in message
0gmh6.222677$[EMAIL PROTECTED]">news:0gmh6.222677$[EMAIL PROTECTED]...
> I am just taking an undergraduate introductory stats course but now I
> am faced with a somewhat difficult problem (at least for me).
>
> If I want to test a hypothesis (t-te
Alan McLean <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
>
>
> Rich Ulrich wrote:
> >
> > On Mon, 5 Feb 2001 19:26:46 +0900, "rjkim" <[EMAIL PROTECTED]>
> > wrote:
> >
> > > hi, all.
> > >
> > > Isn't a chi-squre test inherently a 'one-sided sig. test'?
> >
>
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