On Tue, 13 Nov 2001, Wendy (alias Eric Duton?) wrote:
When applying multiple regression on timeseries data, should I check
(similarly to ARIMA-models) for unit roots in the dependent variable
and the predictor variables and perform the necessary differencing
OR
could
in the moore and mccabe book (IPS), in the section on testing for
differences in population proportions, when it comes to doing a 'z' test
for significance, they argue for (and say this is commonly done) that the
standard error for the difference in proportions formula should be a POOLED
one
Hi
On 15 Nov 2001, dennis roberts wrote:
in the moore and mccabe book (IPS), in the section on testing for
differences in population proportions, when it comes to doing a 'z' test
for significance, they argue for (and say this is commonly done) that the
standard error for the difference
Well here is my two cents. Get a TI-83. a
lot of the formulas you want are already programmed into it and by just entering
data or mean, stdev, etc, you'll get a z value and also the p-value you need to
do a hypothesis test. I know it would be in addition to your palm pilot to
carry
At 08:51 AM 11/15/01 -0600, jim clark wrote:
The Ho in the case of means is NOT about the variances, so the
analogy breaks down. That is, we are not hypothesizing
Ho: sig1^2 = sig2^2, but rather Ho: mu1 = mu2. So there is no
direct link between Ho and the SE, unlike the proportions
example.
dennis roberts wrote:
in the moore and mccabe book (IPS), in the section on testing for
differences in population proportions, when it comes to doing a 'z' test
for significance, they argue for (and say this is commonly done) that the
standard error for the difference in proportions formula
In article [EMAIL PROTECTED],
dennis roberts [EMAIL PROTECTED] wrote:
in the moore and mccabe book (IPS), in the section on testing for
differences in population proportions, when it comes to doing a 'z' test
for significance, they argue for (and say this is commonly done) that the
standard
I'm not really arguing for using the pooled stdev in this case, I'm just
trying to find out the reasons for significance testing procedures.
I think that what were discussing here is if we should use CIs BOTH
for stating effect sizes with errors AND for hypoyhesis testing. I read
a book by
Dennis Roberts wrote:
At 08:51 AM 11/15/01 -0600, jim clark wrote:
The Ho in the case of means is NOT about the variances, so the
analogy breaks down. That is, we are not hypothesizing
Ho: sig1^2 = sig2^2, but rather Ho: mu1 = mu2. So there is no
direct link between Ho and the SE,
Radford Neal wrote:
The difference is that when dealing with real data, it is possible for
two populations to have the same mean (as assumed by the null), but
different variances. In contrast, when dealing with binary data, if
the means are the same in the two populations, the variances
Jerry Dallal wrote:
John Kane wrote:
Very true and I was being deliberatly provocative. Howeever I still cannot
see penalizing someone for gerttaingt the right anwser no matter how arried
at.
Problem: Divide 95 by 19.
Student writes 95/19, 9's cancel, leaving 5/1 = 5 .
How much
At 08:03 PM 11/15/01 +, Radford Neal wrote:
Radford Neal:
The difference is that when dealing with real data, it is possible for
two populations to have the same mean (as assumed by the null), but
different variances. In contrast, when dealing with binary data, if
the means are the
Hello,
I'm working on a univariate linear regression problem with a moderate
amount of data (65 points). Now, I know how to calculate the standard
error for a single prediction (given that all the usual assumptions
are satisfied).
My question is, with this moderate amount of data, is there any
Jerry Dallal [EMAIL PROTECTED] wrote in sci.stat.edu:
Problem: Divide 95 by 19.
Student writes 95/19, 9's cancel, leaving 5/1 = 5 .
How much credit do you award?
Perfect example!
--
Stan Brown, Oak Road Systems, Cortland County, New York, USA
Hi!
I am new in this area..I wonder which clustering algorithm is the most
frequently used and maybe the most robust??
I intend to use some kind of clustering to identify two random variables in
obervations I have got.
Thanks..
CCC
Hi
On Thu, 15 Nov 2001, Jerry Dallal wrote:
But, if the null hypothesis is that the means are the same, why
isn't(aren't) the sample variance(s) calculated about a pooled
estimate of the common mean?
What you are testing is whether there is more variability between
groups than you would
would we give full credit for 87/18 = 7/1 ... 8's cancel?
Full marks. As Napoleon used to ask, Is he lucky?. :) He/she deserves it.!
--
John Kane
The Rideau Lakes, Ontario Canada
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