Re: REML for Dummies?

2002-03-01 Thread Anon.

Dr Jonathan Newman wrote:
 
 I'm trying to find a good introduction to REML (restricted maximum
 likelihood).  I'm a biologist rather than a statistician.  If you have any
 suggestions I'd great appreciate hearing them.  Thanks.

Lynch  Walsh (1998)?  (Genetic Analysis of Quantitative Traits, Chapter
27).  I'm not sure how useful it is - I came via a different route. 
Alternatively, you could try the Genstat manuals.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 65 (Viikinkaari 1)
FIN-00014 University of Helsinki
Finland

!!!  Note: my address has changed.  So has my phone number, but I've no
idea what the new one is.
tel: +358 9 191 28779  mobile: +358 50 599 0540
fax: +358 9 191 57694email: [EMAIL PROTECTED]
http://www.helsinki.fi/science/metapop/ is where it's not at

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Re: Preparation for PhD in Statistics

2002-02-11 Thread Anon.

Herman Rubin wrote:
 
snip
 
 I would tend to reject any book which does data analysis;
 I consider cookbook statistics to be putting a loaded gun
 in the hands of an someone who is totally ignorant about
 guns; not necessarily an idiot, as the idiot cannot learn.
 For data analysis, change gun to armed nuclear weapon.
 
I notice the original poster didn't say what sort of stats they were
doing.  If they were more interested in applied stats, then a data
analysis book would (in my opinion) be vital.  On the other hand, I
think your point about cookbooks is important, so perhaps a data
analysis book should be balanced by a book about how to approach
statistical problems.  Abelson's book has already been mentioned (and
not by Rich, for once!).  I would also suggest Problem Solving by
Chatfield (1995, published by Chapman and Hall).

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 28779  mobile: +358 50 599 0540
(Yes, I have finally joined 21st Century Finland)
fax: +358 9 191 28701email: [EMAIL PROTECTED]
To induce catatonia, visit http://www.helsinki.fi/science/metapop/

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meaning
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Re: What does these mean in statistical sense??

2001-12-20 Thread Anon.

Chia C Chong wrote:
 
 I have 2 random variables (X and Y). The covariance,c was found equal to
 20.2006 and their correlation coefficient,p was 0.0245.
 
 From the statistical book, if their c=0, means that X and Y are uncorrelated
 i.e p=0. However, in my case, c is quite large but p is extremely
 small...So, what justification could I said with this kind of data??
 
It measn the variances are large.  If s_A is the standard deviation of
A, then 

p_XY = c_XY/(s_X*s_Y)

So for your data, s_X*s_Y = 824.5.  This is why we use p, it's re-scaled
so that the variances are 1, so we can compare correlations of variables
with different variances.  In this case, p looks very close to 0.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 28779  mobile: +358 50 599 0540
(Yes, I have finally joined 21st Century Finland)
fax: +358 9 191 28701email: [EMAIL PROTECTED]
To induce catatonia, visit http://www.helsinki.fi/science/metapop/

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Re: simple Splus question - plot regression function

2001-12-04 Thread Anon.

Alexander Sirotkin wrote:
 
 Hi.
 
 After fitting a linear regression model I need to do an extremely
 simple thing - plot the regression function along with the original
 data. Splus has a simple way to plot quite a few complex plots and
 a very complicated way to do this simple one !
 
 Is there a simple way to plot the regression function and the data ?

abline!
e.g.

reg1 - lm(y~x)
plot(x,y)
abline(reg1)

I can do naught more than suggest reading Venables  Ripley's Modern
Applied Statistics with S-plus.  And seeing as this is going to and
Aussie NG, I suspect by doing this I'll warm the cockles of the heart of
at least one of the authors.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

NOTE: NEW TELEPHONE NUMBER
tel: +358 9 191 28779  fax: +358 9 191 28701
email: [EMAIL PROTECTED]
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Re: question re: problem

2001-09-18 Thread Anon.

@Home wrote:
 
 I had the following to solve:
 
 51% of all domestic cars being shipped have power windows. If a lot contains
 five such cars:
 
 a. what is probability that only one has power windows?
 b. what is probability that at least one has power windows?
 
 I solved each of these problems in two ways, one using std probability
 theory and one by using a binomial distribution. I seemingly had no problem
 w/part b., but in part a. the probability theory did not seem to produce the
 correct answer. I have listed these below. What is wrong w/the probability
 equation listed below?  Also is my answer to part b. correct?
 
   a. Randomly Draw Five Samples (Cars)
 
   Independent EventsOnly 1 w/Power Windows
 
   P{Only 1 Power} = P (Power) x P (NotPower)  x P (NotPower) x P
 (NotPower) x P (NotPower)
  0.51 0.49 0.49 0.49 0.49 =
 
What you've got here is the probability that the first car has Power,
but the rest do not.  You also need the probability that the second,
third, fourth or fifth is the one with the Power.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

NOTE: NEW TELEPHONE NUMBER
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email: [EMAIL PROTECTED]
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Re: question re: problem

2001-09-18 Thread Anon.

@Home wrote:
 
 Thanks alot - it worked. How would you compose a short formula depicting:
 
   P {Only 1} =  [P (Power) x P (NotPower)  x P (NotPower) x P (NotPower)
 x P (NotPower)] +
   [P (NotPower) x P (Power)  x P (NotPower) x P (NotPower) x P
 (NotPower)] +
   [P (NotPower) x P (NotPower)  x P (Power) x P (NotPower) x P
 (NotPower)] +
 
   [P (NotPower) x P (NotPower)  x P (NotPower) x P (Power) x P
 (NotPower)]+
   [P (NotPower) x P (NotPower)  x P (NotPower) x P (NotPower) x P
 (Power)]
 
Have a look at Arto's reply, and simple stuff on permutations and
combinations (it's the combinations bit that's relevant).

I assumethat this is homework, so your course notes should help.  Or an
elementary textbook on  probability and statistics should derive the
binomial distribution for you.  But it looks like you've got the basic
idea.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

NOTE: NEW TELEPHONE NUMBER
tel: +358 9 191 28779  fax: +358 9 191 28701
email: [EMAIL PROTECTED]
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Re: H-Statistic Can't find lookup table for large number of samples

2001-09-12 Thread Anon.

Karl Johanson wrote:
 
 JD Kronicz [EMAIL PROTECTED] wrote in message
 [EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
  Hi-
  I am a human health risk assessor.  I am trying to calculate the 95%
  UCL of a lognormal distribution.  The data sets I have all have about
  350 samples.  I can't find a lookup table for the H-Statistic for more
  than 100 samples.  If anyone can point me in the right direction I
  would greatly appreciate it.
  Thanks-JDK
 
 Your post used the letter H five times.

That's a biased statistic!  I counted 12.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

NOTE: NEW TELEPHONE NUMBER
tel: +358 9 191 28779  fax: +358 9 191 28701
email: [EMAIL PROTECTED]
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Re: WHITE EUROPEANS SUCK

2001-09-10 Thread Anon.

Unclaimed Mysteries wrote:
 
 Ian Stirling [EMAIL PROTECTED] wrote in part:
 
  And both of you have just repeated the website that the spammer
  wanted publicised.
  I'm sure it's very gratefull.
 
 But White Europeans do suck. And so do other humans. 

But only when they've got loppipops in their mouths.

Can I claim this as the final word?

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

NOTE: NEW TELEPHONE NUMBER
tel: +358 9 191 28779  fax: +358 9 191 28701
email: [EMAIL PROTECTED]
To induce catatonia, visit:
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language, he has still never yet succeeded in forcing it to reveal his
meaning
- Beachcomber


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Re: comparing 2 slopes

2001-07-15 Thread Anon.

Ellen Hertz wrote:
 
 Mike,
  Yes, you are correct. A purist might say that you didn't actually prove
 that the slopes are the same, only that you failed to demonstrate a
 significant difference between them (because non-significant parameters can
 become significant with more data). However, your interpretation is correct
 and, also, including an interaction term to examine its statistical
 significance is the best approach.
 
Careful!

I think you have to take the purist's view - with most data sets I could
get a non-significant interaction even if the slopes are different, just
by removing some of the data.  If the data it plentiful, then the
interpretation may be reasonable (even if still not strivtly correct). 
The interpretation you're advocating is logically dodgy - your
conclusion could depend as much on the number of data points you have as
on the difference between the slopes.

If you want to argue that two slopes are the same, then it's better to
look at the confidence limits, and see if they only cover a range that
is practically insignificant, then you can say that any difference is
too small to worry about.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 28782  fax: +358 9 191 28701
email: [EMAIL PROTECTED]
To induce catatonia, visit:
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It is being said of a certain poet, that though he tortures the English
language, he has still never yet succeeded in forcing it to reveal his
meaning
- Beachcomber


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Re: NY Times on statisticians' view of election

2000-11-21 Thread Anon.

Herman Rubin wrote:
 
 In article [EMAIL PROTECTED],
 Thom Baguley  [EMAIL PROTECTED] wrote:
 Herman Rubin wrote:
  The UK has effective disenfrachisement of most of the
  members of its Liberal party.  Also, the US was definitely
  set up NOT to be "democratic"; the British democracy has
  greatly eroded the rights the people won in the Bill of
  Rights and the Petition of Right.  Democracy is two wolves
  and a sheep deciding the dinner menu.
 
 It is true that minority parties such as the Liberal Democrats (typically
 15-25% in polls) are disenfranchised by the first-pass-the-post General
 election system (5-8% in terms of parliamentary seats). However, this is the
 same FPTP system in the US elections (excluding the Electoral College) which
 effectiviely disenfranchises Green, Libertarian, Reform etc voters. In my view
 both would benefit (in terms of fairness) from a more proprtional system.
 
 There is essentially no chance of it happening in either
 country.  The British system does enable them to get a
 modicum of seats, but not easily.  There were a few places
 which had proportional representation for their city
 councils, but the major parties combined to get rid of it.
 
In the UK, PR has been used in Northern Ireland for the European
Parliament for several years.  It was also used for the regional
assembly in Wales, the Scottish parliament and the London city council. 
The latter three are experiments, and we'll see how long it lasts.

 The US could have splitting of the Electoral College vote
 in any given state, but this would reduce the importance of
 winning the state.
 
Some states do, don't they?

 But do not rush to a proportional system.  It can have very
 bad consequences, as can be seen from Israel and Italy, and
 which was the case in France until de Gaulle reformed the
 structure of the government.
 
It works fine in Scandinavia.  The Swedish People's Party in Finland has
been in power since independence (I think), as part of whatever
coalition was in charge.  It works well if the climate is one of
bi-partisanship, and the Italian and Israeli politicians never give the
impression of calm moderation.  I suspect it would work fine in Britain,
once the MPs got over the initial shock.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 7382  fax: +358 9 191 7301 
email: [EMAIL PROTECTED]
To induce catatonia, visit:
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I have yet to see any problem, however complicated, which, when you
looked at it in the right way, did not become still more complicated.  -
Poul Anderson

But shame and disgrace are very hard to achieve in politics nowadays, as
in any other branch of sport.  - Alistair Cooke


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Re: NY Times on statisticians' view of election

2000-11-15 Thread Anon.

[EMAIL PROTECTED] wrote:
 
 In article [EMAIL PROTECTED],
   Rodney Sparapani [EMAIL PROTECTED] wrote:
  2) they didn't examine the undervotes in the original count or the
 state-law mandated
  re-count; it's only in the third count where they are considering
 them, which is what
  is so disturbing.
 
 
 i tell you want I find disturbing:
 the "chad undercount error" that was discovered in the Volusia
 county complete hand count went 62% to Gore and 38% to Bush.
 However, as a whole, Volusia was only 53% Gore and 45% Bush.
 Since when do chads play favorites, or is this entirely realistic
 is one were to model chad failure as a Poisson process?
 
A simple explanation would be that there was one dud machine in a
Gore-voting district.  I'll leave it to someone else to start discussing
inhomogeneous Poisson processes.  In essence, it's the same sort of
idea.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 7382  fax: +358 9 191 7301 
email: [EMAIL PROTECTED]
To induce catatonia, visit:
http://www.helsinki.fi/science/metapop/

I have yet to see any problem, however complicated, which, when you
looked at it in the right way, did not become still more complicated.  -
Poul Anderson

But shame and disgrace are very hard to achieve in politics nowadays, as
in any other branch of sport.  - Alistair Cooke


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Re: consistent statistic

2000-09-06 Thread Anon.

Chuck Cleland wrote:
 
 Hello:
   If I understand the concept correctly, a consistent statistic is one
 whose value approaches the population value as the sample size
 increases.  I am looking for examples of statistics that are _not_
 consistent.  The best examples would be statistics that are not
 computationally complex and could be understood by large and diverse
 audiences.  

How about the universal counterexample, the mean of a Cauchy
distribution?  It's simple if you present it as the ratio of two
standard normal distributions.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 7382  fax: +358 9 191 7301 
email: [EMAIL PROTECTED]
To induce catatonia, visit:
http://www.helsinki.fi/science/metapop/

I have yet to see any problem, however complicated, which, when you
looked at it in the right way, did not become still more complicated.  -
Poul Anderson


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Re: Which statistical test?

2000-08-21 Thread Anon.

jkroger wrote:
 
 Hello, I am trying to determine a statistical difference, but am having
 some difficulty determining what test should be used.
 
 I have two timecourse measures, A and B. At 20 consecutive intervals, A
 and B are measured, and the results are plotted. Both signals rise quickly
 to about the same height, then fall. Sometimes A stays elevated longer.
 
 There are eight seperate trials (representing eight conditions), producing
 eight pairs of curves.
 
 I want to show that in some conditions, the difference between the length
 of A's response and B's response is greater than in other conditions:
 duration(A) - duration(B) is significantly greater in some conditions.
 
I assume by duration you mean the time spent at the maximum height.  In
that case, you are only interested in that part of the curve.  If you
plot (B-A) against time, does that give you a clear enough picture?  

 I tried a t-test for each condition, subtracting B from A at each interval
 and using a t-test to determine if the resulting sample differed from 0.
 Unfortunately, in a couple conditions where it appears the A response is
 about the same as the B response, but the t-test is so sensitive that even
 small differences between A and B produce significance. 

Could this be because there is a significant difference elsewhere? 
Again, time series plots of (B-A) will help.

The t value for
 the condition (#1) which it is important to demonstrate has a longer A
 duration (as is clearly obvious on inspection) is over 38. 

If it's clearly obvious on inspection, then why not just plot the
graphs, and not bother with stats tests?  

If it's not so clear that even a politician would see it, you could
think about just testing the observations after the maximum, for
example.  It's perhaps slightly ad hoc, but if you can justify a test
like that, then it might be sufficient.


Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 7382  fax: +358 9 191 7301 
email: [EMAIL PROTECTED]
To induce catatonia, visit:
http://www.helsinki.fi/science/metapop/

I have yet to see any problem, however complicated, which, when you
looked at it in the right way, did not become still more complicated.  -
Poul Anderson


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Re: Histogram for discrete probability distribution

2000-08-10 Thread Anon.

Sheila King wrote:
 
 [cross-posted to sci.stat.edu,sci.stat.math,k12.ed.math]
 
 I'm teaching a GE stat course, my first time teaching stat, and am
 having some points of confusion. Here is one of my questions:
 
 Suppose I have a probability distribution as follows:
 
 Sample space:
 1.5, 2.0, 2.5, 3.5, 4.0, 4.5
 
 and each of these outcomes is equally likely. So, if my random variable
 is x, then
 P(x=1.5) = 1/6
 P(x=2) = 1/6
 and so on...
 
 To draw a probability distribution histogram, I wanted to make the bar
 for each outcome have a height of 1/6, but I became confused over this
 point:
 for x=2.0, the bar can only be on half unit wide, because of the
 neighboring outcomes 1.5 and 2.5
 (until I had encountered this particular problem, I had always made the
 bars for each outcome a width of one unit wide, with a height equal to
 P(x=that outcome) and with the outcome value centered horizontally on
 the bar).
 But it seems to me, each of the bars should have an equal width.
 
It would seem sensible to me, too.

Actually, when I read 'histogram', the pedantic part of my brain said
"you don't want to do that, you want a bar chart".  It's now feeling
incredibly chuffed with itself, because it noticed the problem.

Histograms are used for continuous sample spaces.  Yours is discrete -
there is no 1.25 in the sample space, but a histogram would give the
illusion that there was.  As an alsternative, you could either plot a
line chart (i.e. at each point in hte sample space draw a line with its
length proportional to the density), or a bar chart, where all the bars
are an equal width, but there is space between them.

I hope this makes sense.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 7382  fax: +358 9 191 7301 
email: [EMAIL PROTECTED]
To induce catatonia, visit:
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I have yet to see any problem, however complicated, which, when you
looked at it in the right way, did not become still more complicated.  -
Poul Anderson


submissions: post to k12.ed.math or e-mail to [EMAIL PROTECTED]
private e-mail to the k12.ed.math moderator: [EMAIL PROTECTED]
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Re: C code for Multiple Regression, ANOVA?

2000-07-16 Thread Anon.

Paul Thompson wrote:
 
 Hi everyone,
 
 Does anyone know if there are any C code functions or libraries
 available
 (preferably free/on the Web) for doing multiple regression or
 multivariate analysis of covariance (MANCOVA)?
 
Have you tried to wade through the source code for R?  If not, have a
look at http://cran.r-project.org (or one of the mirrors).  

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 7382  fax: +358 9 191 7301 
email: [EMAIL PROTECTED]
To induce catatonia, visit:
http://www.helsinki.fi/science/metapop/

I have yet to see any problem, however complicated, which, when you
looked at it in the right way, did not become still more complicated.  -
Poul Anderson


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Re: Stupid question on relationship of r and t

2000-06-24 Thread Anon.

"Jason Osborne, Ph.D." wrote:
 
 I am working on a power analysis project- we are reviewing old journal
 articles to calculate observed effect sizes and power.  Some of these
 articles, for example reporting t-test results, only give means and
 t-test, no standard deviation.  thus, no effect size calculation is
 possible.  I was hoping to estimate an effect size by converting a t to
 an r.  I seem to remember a formula that relates the two, but am having
 a dickens of a time tracking one down.  The one I did track down, for
 calculating t from r, is not that helpful:
 
 t= r * sqrt(n-2)
-
sqrt(1-r^2)
 
 I want to be able to calculate r from t.  I tried algebraically
 manipulating the formula, but never quite got it to where I could do
 this.  Any advice?
 
Try squaring both sides and re-arranging.

Bob

-- 
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 7382  fax: +358 9 191 7301 
email: [EMAIL PROTECTED]
To induce catatonia, visit:
http://www.helsinki.fi/science/metapop/

I have yet to see any problem, however complicated, which, when you
looked at it in the right way, did not become still more complicated.  -
Poul Anderson


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Re: I need Help!!

2000-05-31 Thread Anon.

John Lexmark wrote:

 Please help me to solve this problem, I am stuck...

 An inspector inspects large truckloads of potatoes to determine the
 proportion p in the shipment with major defects prior to using the potatoes
 to make potato chips.  Unless there is clear evidence that this proportion
 is less than 0.10 she will reject the shipment.  To reach a decision she
 will test the hypotheses

 H0: p=0.10, Ha: p0.10

 Using the large sample test for a population proportion.  To do so, she
 selects an SRS of 50 potatoes from the more than 2000 potatoes on the truck.
 Suppose that only 2 of potatoes sampled are found to have major defects.
 Determine the P-value of her test.

 I really appreciate your helps.


Spot the homework!  I'll just say it looks like a normal approximation to a
binomial, and hope that there are enough clues in there to help you find the
correct section of your notes.

I can't do any more - if I tell you the answer, I'll get a visit from Marge
Inoferror who'll beat me around my posterior.

Bob

--
Bob O'Hara
Metapopulation Research Group
Division of Population Biology
Department of Ecology and Systematics
PO Box 17 (Arkadiankatu 7)
FIN-00014 University of Helsinki
Finland

tel: +358 9 191 7382  fax: +358 9 191 7301
email: [EMAIL PROTECTED]
To induce catatonia, visit:
http://www.helsinki.fi/science/metapop/

I have yet to see any problem, however complicated, which, when you looked at it
in the right way, did not become still more complicated.  - Poul Anderson




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