Hi: I am new to the list and have a question about bootstrap hypothesis testing. I am
testing the equality of two means according to Algorithm 16.2 in An Introduction to
the Bootstrap by Efron and Tibshirani (1993). They define the estimated ASL as
#{t(x*b) >= tobs}/B. It seems to me that t
At 02:52 PM 2/15/01 -0600, Paul R Swank wrote:
>I remember a question from some stat book about a situation where there
>were 8 members of a group, three men and five women (or the reverse, I
>can't remember
>which) and on some issue the vote was five to three with all five women
>voting for. T
I remember a question from some stat book about a situation where there were 8 members of a group, three men and five women (or the reverse, I can't remember
which) and on some issue the vote was five to three with all five women voting for. The question was "How likely was this event to occur by c
On Thu, 23 Nov 2000, Jay Warner wrote in part:
> And when you have made your way through it, send me an email, telling me
> how well it worked for you - that's your 'cost' for using it!
Since you asked the entire Edstat list for advice, it would be courteous
to copy that e-mail to the list.
"sunny" <[EMAIL PROTECTED]> said:
Subject: Re : Hypothesis testing
I need help with the following hypothesis testing question :
"The data processing department at a large company has installed new LCD
monitors to replace the colour monitors used previously. The 95 operato
The answer to 1) is 'one'.
Alan
sunny wrote:
>
> I need help with the following hypothesis testing question :
>
> "The data processing department at a large company has installed new LCD
> monitors to replace the colour monitors used previously. The 95 oper
Were these homework or class problems for you to solve? If so, repeat the
post but show what you have done to try to solve the problems.
Dr. Robert C. Knodt
7121 Harbor View Drive
Leesburg, FL 34788
[EMAIL PROTECTED]
"The law of gravity says no fair jumping up without coming down."
I need help with the following hypothesis testing question :
"The data processing department at a large company has installed new LCD
monitors to replace the colour monitors used previously. The 95 operators
trained to use the new monitors averaged 7.2 hours before achieving a
satisfactory
Periodically there is a burst of discussion of hypothesis testing on
this list, often with quite a lot of verbal pyrotechnics. With the
current discussion going on, it seems an appropriate time to comment
that a few weeks ago I sent out a call for people interested in
presenting papers on
tails about the South African arrangements at
<http://icots.itikzn.co.za/>.
Topic 3 is 'Statistics Education at the Post Secondary Level' and within
that, Session 3M is 'Hypothesis Testing'. I am the Session Organiser for
this session.
The session abstract is
A more com
On Thu, 20 Apr 2000 10:48:38 +0100, "P.G.Hamer"
<[EMAIL PROTECTED]> wrote:
< snip, interesting stuff about, proper age-adjusted life-tables,
with proper adjustment of base-line Ns, would not show an increase in
competing causes of death >
> BTW an even greater problem in animal testing seems to
Jerry Dallal wrote:
> As Tukey has pointed out, the null hypothesis of no effect
> is not that we think there is no effect, but we are uncertain
> of the direction.
>
> I wish I knew more about Delany and its application.
> One problem, pointed out by David Salsburg, is that a
> substances that e
Herman Rubin wrote:
>
> The truth myth is highly persistent. We have the Delaney
> Clause, which requires the FDA to ban any additive "which
> has been found to cause cancer in humans or animals".
> Now what does this mean? It is unlikely that anything
> does not affect the cancer rate.
>
> We
In article <634D48D1362BD311AC7400508B1047DA912E82@EXCHANGE>,
Silvert, Henry <[EMAIL PROTECTED]> wrote:
>I would go a little further. It is the perpetuation of the idea that there
>is some truth out there that has to be found that makes statistics and the
>sciences so alienating to mopst people. W
MAIL PROTECTED]
> Subject: Re: Hypothesis testing and magic - episode 2
>
> > Truth has nothing to do with it. We contruct stories of how the universe
> operates -
> > we call these stories 'theories' or 'models'. Significance testing is
> one
> w
- Original Message -
From: Michael Granaas <[EMAIL PROTECTED]>
To: EDSTAT list <[EMAIL PROTECTED]>
Sent: Thursday, April 13, 2000 8:23 AM
Subject: Re: Hypothesis testing and magic - episode 2
> In addition to defining the variables some areas do a better job of
> defi
> Truth has nothing to do with it. We contruct stories of how the universe
operates -
> we call these stories 'theories' or 'models'. Significance testing is one
way in
> which we choose between stories as to which is (probably) more useful in a
> specified context.
--
> Alan McLean ([EMAIL PROTEC
Spot on, Michael.
Michael Granaas wrote:
> On Thu, 13 Apr 2000, dennis roberts wrote:
>
> > At 10:23 AM 4/13/00 -0500, Michael Granaas wrote:
> >
> > >In addition to defining the variables some areas do a better job of
> > >defining and therefore testing their models. The ag example is one wher
erms of the impacts of these variables on things) ... but, this is
> precisely what many have been arguing on the list about that hypothesis
> testing ... statistical significance testing that is ... is in NO position
> to help you assert 'the truth' ... truth is a metaphysical
Hi Michael,
This sounds to me like lousy experimental design. Surely the purpose of the
experiment is to distinguish between competing theoretical models?
Michael Granaas wrote:
> But in some areas in psychology you will have a situation where many
> theoretical perspectives predict the same ou
On Thu, 13 Apr 2000, dennis roberts wrote:
> At 10:23 AM 4/13/00 -0500, Michael Granaas wrote:
>
> >In addition to defining the variables some areas do a better job of
> >defining and therefore testing their models. The ag example is one where
> >not only the variables are relatively clear so a
At 10:23 AM 4/13/00 -0500, Michael Granaas wrote:
>In addition to defining the variables some areas do a better job of
>defining and therefore testing their models. The ag example is one where
>not only the variables are relatively clear so are the models. That is
>there is one highly plausible
(in
terms of the impacts of these variables on things) ... but, this is
precisely what many have been arguing on the list about that hypothesis
testing ... statistical significance testing that is ... is in NO position
to help you assert 'the truth' ... truth is a metaphysical notion .
On Thu, 13 Apr 2000, Alan McLean wrote:
> Some more comments on hypothesis testing:
>
> My impression of the hypothesis test controversy, which seems to exist
> primarily in the areas of psychology, education and the like is that it
> is at least partly a consequence of the s
us" "everything else being equal" that is part of a
true experiment.
We cannot randomly assign people to ethnic categories. There can be a plethora
of plausible rival hypotheses. see
http://www.personnelselection.com/adverse.impact.htm
Alan McLean wrote:
> Some more comme
At 09:30 AM 4/13/00 +1000, Alan McLean wrote:
>In the soft sciences it is easy enough to identify a characteristic of
>interest
alan makes good points as usual ... but i totally object to the term 'soft'
sciences ...
what does soft imply? that the science is bad ... or, that merely that
va
Some more comments on hypothesis testing:
My impression of the hypothesis test controversy, which seems to exist
primarily in the areas of psychology, education and the like (this is
coming from someone who has been involved in education for all my
working life, but with a scientific
: Tuesday, April 11, 2000 7:47 PM
> To: EDSTAT list
> Subject: Hypothesis testing and magic
>
> I have been reading all the back and forth about hypothesis testing with
> some degree of fascination. It's a topic of particular interest to me -
> I presented a paper ca
I have been reading all the back and forth about hypothesis testing with
some degree of fascination. It's a topic of particular interest to me -
I presented a paper called 'Hypothesis testing and the Westminster
System' at the ISI conference in Helsinki last year.
What I find fas
You may search for bioequivalence tests or equivalence test.
Here is a little introduction
Typically, when you compare two means, you want to show that the
means are different. Hence, your goal is to disprove the
null hypothesis of equality.
However, in the case of equivalence, you are inter
This is a multi-part message in MIME format.
--CBCC9428240C3EF7FCA02435
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit
First:
H0: mean < mean+sv;
H1: mean >mean+sv;
You can finish it by one side hyothesis testing
Second:
H0: mean > mean-sv;
H1: mean The
The normal hyothesis testing assumes the following...
H0: mean = mean1;
H1: mean != mean1;
Is there any one who come across how to do hyothesis testing of the
following nature? Is there any books that I can refer to?
H0: |mean1| > mean + sv;
H1: mean + sv > mean1 > mean - sv;
where sv = a smal
Thank you for your reply, the only one I have got so far.
"Donald F. Burrill" wrote:
>
> Looks to me like a simple typo. The null hypothesis is
> H0: beta1 = beta2 = 0
> and I would attribute the "+" sign to a typing error ("+" is a shifted
> "=" on most keyboards).
You may be right
Looks to me like a simple typo. The null hypothesis is
H0: beta1 = beta2 = 0
and I would attribute the "+" sign to a typing error ("+" is a shifted
"=" on most keyboards).
While the _interpretation_ of non-zero estimates of the betas
(should H0 be rejected) depends on the spec
Suppose that I have a factor with three levels A, B, and C. If it
is used in a GLM model as a covariate, I will have two parameter
beta1 and beta2 (assuming they are for level B and C). To test a
statement "Any of the last two levels (either level B or level C)
has a different effect on the respon
35 matches
Mail list logo
