With all this discussion about methods and rules
I thought that this question might be appropriate:
Has anyone tried using "Comprehending Behavioral Statistics"
by Russell T. Hurlburt, Brooks Cole, 1994 (that I saw)
It seems to be the usual sort of intro stat text, but with a twist.
He makes a
Yep!!
As you say:
"Why are people so obsessed with T and Z? "
Perhaps it would be even better (easier?) to focus on F since
F(df1,df2) = t^2(df2)
(Reminder: when using a t-table, the p-values usually involve ONE-TAIL and
when using the F-table, the p-values involve TWO-TAILS )
Example: The
[EMAIL PROTECTED] wrote:
In article [EMAIL PROTECTED],
[EMAIL PROTECTED] says...
snip
On the other hand, a body of knowledge can be thought of as a set of
'rules'. The important thing is that this set is constructed by the
individual, so our aim should not be to teach statistics as
Miguel Verdu wrote:
Posted also to comp.soft-sys.stat.spss where the same question appeared
(and nobody answered).
Hello.
This is an output of GLM from SPSS 9.0 where the dependent variable
FLOR (log transformed)
was analysed by crossing 2 levels of the FIXED factor SEX with 2
Tjen-Sien Lim asks:
Why are people so obsessed with T and Z? When the degrees of freedom
exceeds
say 30, the difference between T and Z is practically negligible. You can
use T
or Z in such a case. However, the P-value from Z is easier to compute.
With appropriate tables or software, the
Haider Al-Katem wrote:
I have conducted a factor analysis on some questionnaire items. The
dependent variables that I am measuring for example ('Intention To Buy',
'Attitude towards a product' and 'Trust in buying the product from a
merchant' ) seem to load significantly high on two factors
Thanks for your replies, I have 5 minutes to reply to some of your comments because my
wife and friends are waiting for me to get home so we can go to New Orleans.
1. I agree with Joe that the term "dummy" in dummy coding is a rather dumb term to use
for indicator variables. The terms is
Herman Rubin wrote:
Robert Frick [EMAIL PROTECTED] wrote:
Jerry Dallal wrote:
Robert Frick wrote:
I know it is hard to make statistics fun, but FOLLOWING
RULES IS NEVER
FUN. Not in math, not in games, nowhere.
In math and in games, following rules isn't just fun,
Skewness is only well defined for univariate distributions.
The Johnson SU distribution approximation for the skewness distribution converts
a Pearson skewness measure to a normal distribution Z value. As with all large
data sets, a small skewness will show up as indicationg that the
On 20 Dec 1999, Don Taylor wrote in part:
Has anyone tried using "Comprehending Behavioral Statistics"
by Russell T. Hurlburt, Brooks Cole, 1994 (that I saw)
It seems to be the usual sort of intro stat text, but with a twist.
He makes a large point of showing students how to "eyeball" a
My wife wants to adjust marks for a course she is marking. Does someone have
a formula or something for using a bell curve to move them up or down?
I have done this sort of thing about 15 years ago, but I can't remember any
of it!
--
Dear Why, Ted:
Sign your query, and provide a usable return address, and someone might
consider an answer. It might even be a useful one. But anonymous
questions don't deserve a response.
On Tue, 21 Dec 1999, Generic [EMAIL PROTECTED] wrote:
My wife wants to adjust marks for a course she
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