If I may, I'd like to confuse Stu's response on the way toward a cleaner
answer (well, try for cleaner, anyway).
for Chi sq, look in the equation and you will see the numerator is the
square of the difference of observed and expected. So any deviation from
expected will increase the total chi-sq
On Tue, 15 Jan 2002 23:06:25 GMT, janne <[EMAIL PROTECTED]> wrote:
> Lets say I do a x2(chi) test and have the hypothesis:
>
[snip, some example]
>
> If you can have < in hypothesis, then when is it < and when is it > I
> should use? How do I know which one to use?
>
> I also wonder about t-te
Hi Janne:
janne wrote:
> Lets say I do a x2(chi) test and have the hypothesis:
>
> Ho: there are no differences in opinion between techers and students
> Ha: there are differences in opinion between techers and students
>
> Can it only then be:
>
> If X2 obs(observation) is > 2.32(for example)
Lets say I do a x2(chi) test and have the hypothesis:
Ho: there are no differences in opinion between techers and students
Ha: there are differences in opinion between techers and students
Can it only then be:
If X2 obs(observation) is > 2.32(for example) then Ho is rejected. So
if X2 obs is
On 3 Jan 2002 20:17:48 -0800, [EMAIL PROTECTED] (Lucas Wells)
wrote:
[ snip, detail ]
>
> Now, I look at these percentages and I think to myself, 'They're
> percentages of a whole. If one goes up, then another must fall. It
> doesn't seem to make sense to examine them as if they are measures
>
Lucas Wells wrote:
> So, what I often see, then is:
>
> Orders (note: presented as Aug, Sep, Oct):
>
> Orders Issue: 1, 9000, 9500
> Orders With Errors: 2000, 2500, 2250
> % Orders With Errors: 20%, 27.78%, 23.68%
>
> Fields With Errors:
>
> Name Field: 750, 1000, 1100
> Address Field: 7
Hello All,
Let me apologise in advance -- I assume I am about to raise a very
simple / silly topic, but I don't have a background in Stats, so it's
hard for me to tell a sensible question from one that isn't.
Let me set the scene for my question: I work in a large business that
loves to circulat
I have to make a correction to my yesterday's posting. I think
P{selected j different balls}= (sub(N)Csub(j)* sum M1!/n1!n2!...nj!)/N^M1,
with summation over all ni,i=1,...,j, 1<=ni[EMAIL PROTECTED]>...
> I assume you are interested in the expected value (E) of the number of
> different balls. The
I assume you are interested in the expected value (E) of the number of
different balls. Then, E= SUM j*P{selected j different balls} over i=1
to M1. Now, P{selected j different balls}= sub(N)Csub(j)*(j/N)^N,
where sub(N)Csub(j) is the number of possible combinations of j items
selected from N item
On Sun, 26 Aug 2001 [EMAIL PROTECTED] wrote:
> I have trouble to solve this probability problem. Hope get help here.
>
> There is N balls, Pick up M1 balls with replacement from them.
> what is the expected value of different balls we pick up?
"Expected value" of what characteristic of the ba
Hi there,
I have trouble to solve this probability problem. Hope get help here.
There is N balls, Pick up M1 balls with replacement from them.
what is the expected value of different balls we pick up?
Thanks,
Jason David
=
In
Hi, there!
The current demo version of Winstat for Excel
(www.winstat.com) does not work for me. Whatever data range
is selected, the results are based not on the selected data
but on some built-in sample data (it is very easy to see
instantly, because the sample data are in German). I tried
to c
On 25 Sep 2000 16:26:30 -0700, [EMAIL PROTECTED] (Ronny
Richardson) wrote:
> What follows is a question from the test bank for Complete Business
> Statistics by Amir Aczel. I am embarrassed to say that I cannot figure out
> how to work the problem. I do know from the test bank program that the
>
Hello Ronny,
I should think that someone of your education should be familiar with this
matter !
I would apply the binomial distribution to calculate necessary sample size.
There seem to be two constraints in the problem. I guess the most stringent
constraint must prevail for both sides of this t
What follows is a question from the test bank for Complete Business
Statistics by Amir Aczel. I am embarrassed to say that I cannot figure out
how to work the problem. I do know from the test bank program that the
answer is 798. Any hints or solutions would be greatly appreciated.
"A real estate
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