On 12 Nov 2001, Niko Tiliopoulos wrote:
I am acting as the stats advisor for my unit in the psychology
department of the University of Edinburgh, UK. Last week a colleague
of mine presented me with the following issue, and I am not quite sure
how to respond:
She is running a
In article [EMAIL PROTECTED],
Stan Brown [EMAIL PROTECTED] wrote:
John Kane [EMAIL PROTECTED] wrote in sci.stat.edu:
.
I don't think I ever said the answer is not important; if I did say
so I didn't mean to. The right answer is important, but after all
In article [EMAIL PROTECTED],
Thom Baguley [EMAIL PROTECTED] wrote:
Glen wrote:
As a student I *always* preferred closed book exams. If I know the
material I don't need the book, and if I don't know the material,
the book isn't going to help in the exam enough anyway. For open
Yes. Also,
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 credit do you award?
Chia C Chong [EMAIL PROTECTED] wrote in message
news:9sk4p9$1e9$[EMAIL PROTECTED]...
Any recommendation for books on Clustering Algorithm??
Two suggestions:
Anderberg, M.R. (1973), Cluster Analysis for Applications, New York:
Academic Press, Inc.
Hartigan, J.A. (1975),
Dear all,
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 I simply start the multiple regression analysis on the pure timeseries
Dear all,
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 I simply start the multiple regression analysis on the pure timeseries
Dear all,
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 I simply start the multiple regression analysis on the pure timeseries
Herman Rubin wrote:
In article [EMAIL PROTECTED],
Thom Baguley [EMAIL PROTECTED] wrote:
Glen wrote:
As a student I *always* preferred closed book exams. If I know the
material I don't need the book, and if I don't know the material,
the book isn't going to help in the exam enough
On 12 Nov 2001 11:41:45 -0800, [EMAIL PROTECTED] (Carl Huberty)
wrote:
It would be greatly appreciated if I could get references for the six topics
mentioned in the message below. I assume that Conover (1999) discusses the
first topic. But beyond that I am at a loss. Thanks in advance.
Dear all,
In light of the very interesting and highly appreciated response I
received in my mailbox, allow me to attempt to be more clear. First I
should say that I am not aware of the deep details of the study (it is
indeed someone else's and I am not trying to cover up my errors).
Ss are put
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 I simply start
On Wed, 14 Nov 2001, Alan McLean wrote in part:
Herman Rubin wrote:
A good exam would be one which someone who has merely
memorized the book would fail, and one who understands
the concepts but has forgotten all the formulas would
do extremely well on.
Since to understand the
Using introductory statistics as an example, concepts are built in a certain
sequence. If students get lost at a certain stage, s/he will have difficulty
to connect the later concepts together. Therefore, it is crucial to test the
understanding of the connection (or relationship) among related
Students also confuse histograms with time series graphs. They describe
a graph as, for example, 'starting low, increasing then decreasing
again'. It's easy enough to see how they get this approach from their
school maths. It's much more difficult to get them to see a histogram as
rather more
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