All the info is at
http://www.m-ms.com/us/about/products/index.jsp
for each of the different types of mm's. Just click the one in which you are
interested.
you wrote
Date: Thu, 20 Sep 2001 08:36:43 -0400
From: Rob MacTurk [EMAIL PROTECTED]
Subject: Re: for students (biology et
The mean of a random sample of size 81 from a population of size 1 billion
is going to be Normally distributed regardless of the distribution of the
overall population (i.e., the 1 billion). Oftentimes the magic number of
30 is used to say that the mean will have a Normal distribution, although
seems to me that if you are talking about, for example, generating a
sampling distribution of means, ... then each and every SRS is assumed to
be randomly and INDEPENDENTLY drawn from said population ... thus, sampling
with replacement is assumed
if not, each NEXT sample is not being drawn
Jon Cryer wrote:
But it would be bad statistics to sample with replacement.
Whew! saves me from having to learn about all that bootstrap
stuff! :-)
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Joe Galenko wrote:
The mean of a random sample of size 81 from a population of size 1 billion
is going to be Normally distributed regardless of the distribution of the
overall population (i.e., the 1 billion). Oftentimes the magic number of
30 is used to say that the mean will have a Normal
I wouldn't call bootstrapping sampling from a population.
Would you?
Jon Cryer
At 06:03 PM 9/21/01 GMT, you wrote:
Jon Cryer wrote:
But it would be bad statistics to sample with replacement.
Whew! saves me from having to learn about all that bootstrap
stuff! :-)
At 06:14 PM 9/21/01 +, Jerry Dallal wrote:
I wrote:
Does anybody really care about the proportions of different colors
in bags of MMs?
because I surely didn't, but perhaps I should. Since the % blues
differ among plain and peanut (10 v 30, says WBW) there's probably a
good
At 02:12 PM 9/21/01 -0500, Jon Cryer wrote:
I wouldn't call bootstrapping sampling from a population.
Would you?
well, getting the first boot ... to do the strapping ... might be ... but,
after that ... then REsampling from the first SAMPLE (boot) ... would be a
better way to describe it
At 02:12 PM 9/21/01 -0500, Jon Cryer wrote:
I wouldn't call bootstrapping sampling from a population.
Would you?
Jon Cryer
however, we should perhaps not make too lightly of this method ... if
bootstrapping or resampling ... will produce accurate estimates of standard
errors (for example)
in
Joe Galenko wrote:
Just out of curiousity, I'd like to know what kind of population you could
have such that a sample mean with N = 200 wouldn't be approximately
Normally distributed. That would have to be a very, very strange
distribution indeed.
You can construct them easily as Bernoulli
Right, I meant to say _approximately_ Normal. If you're writing it down
mathematically then the sample mean is only Normal if the larger
population is also Normal. But in practice, nothing is ever exactly
Normal anyway, so in that sense it's just a matter of when have you have
enough to get a
Hi
I have a problem in linear algebra that is;
If T be a linear transformation matrix(squared matrix)
and inv(T') be the inverse of transpose of T,
is inv(T') a linear transformation matrix too???
Thanks for your help
ASGHAR AKBARI
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of Joe Galenko
Sent: Friday, September 21, 2001 12:30 PM
To: [EMAIL PROTECTED]
Subject: Re: what type of distribution on this sampling
Just out of curiousity, I'd like to know what kind of population you
Herman Rubin wrote:
The OED cites the following use of metric as a noun:
1921 Proc. R. Soc. A. XCIX. 104 In the non-Euclidean
geometry of Riemann, the metric is defined by certain quantities . .
A good example of bad usage: *what* metric, *what* quantities?
The reader should not be left
Not to disagree with Randy Poe completely, but I think we can say something,
especially if we make _some_ assumptions (mainly, that this comes from an intro
class).
@Home wrote:
I am trying to solve a ? which basically gives the following facts:
population of unknown number
popu std dev of
Dear newsgroup reader,
within my thesis there is a survey about maps and users expectations.
Please take part at http://www.domestic.at/uniwien
Thanks in advance,
Isabella Bayer
[EMAIL PROTECTED]
Department of Geography and Regional Research, Cartography and
Geoinformation
University of
Jerry Dallal wrote:
You can have them count the colors of candies in bags of MMs. The MM
web site has the expected proportions published so they can do a
ChiSquare test against those proportions.
Does anybody really care about the proportions of different colors
in bags of MMs?
@Home wrote:
Is there any downloadable freeware that can generate let's say 2000 random
samples of size n=100 from a population of 100 numbers.
and Randy Poe responded:
Um.
A sample of 100 from a population of 100 is going to
give you the entire population.
Depends whether
Rich Ulrich wrote:
Robert waffles by saying 'most' purposes, so I have to
find it easy to agree. When might you *not* treat a uniform,
N=20 as normal? - perhaps when the R^2 is too high
(above .90)?
Anything involving extreme-value estimation, for a start.
This would have been of more interest if it had been published in
August.
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But it would be bad statistics to sample with replacement.
Jon Cryer
At 08:35 AM 9/21/01 -0300, you wrote:
>"@Home" wrote:
>> >
>> > Is there any downloadable freeware that can generate let's say 2000 random
>> > samples of size n=100 from a population of 100 numbers.
>> >
>>
>and Randy Poe
@Home wrote:
Is there any downloadable freeware that can generate let's say 2000 random
samples of size n=100 from a population of 100 numbers.
and Randy Poe responded:
Um.
A sample of 100 from a population of 100 is going to
give you the entire population.
I replied:
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