Hello,
I have a question regarding basic probability and statistics. If I
understand correctly, the definition of independence holds for two events
that are subsets of the same sample space. In other cases, we may need to
construct a new sample space, such as with the flipping of a coin
Perhaps jthis is too superficial -- no time to think more deeply just
now. But I suspect the difference between your two scenarios below is
that with exactly 5 computers to deal with (i.e., population size = 5)
you are sampling without replacement (which is only sensible, for the
background
On Sat, 24 Feb 2001, Donald Burrill wrote:
On Sat, 24 Feb 2001, Mike Granaas wrote:
Interesting point. Yes, if the Ss do something other than a random guess
the binomial model would be violated. The question then becomes what
would they do if they are uncertain? I suspect that they
the original post meant that ... there were multiple tasters ... i had just
put 10 as an example
thus, in the binomial context ... i was assuming (rightfully or wrongfully)
that n=10 ... that is, if we SCORE across the 10 ... we could have scores
of 0 to 10 ... in terms of how many got the
when we do a 2 sample t test ... where we are estimating the population
variances ... in the context of comparing means ... the test statistic ...
diff in means / standard error of differences ... is not exactly like a t
distribution with n1-1 + n2-1 degrees of freedom (without using the term
- I want to comment a little more thoroughly about the lines I cited:
what Garson said about inference, and his citation of Olkey.
On Thu, 22 Feb 2001 18:21:41 -0500, Rich Ulrich [EMAIL PROTECTED]
wrote:
[ snip, previous discussion ]
me
I think that Garson is wrong, and the last 40 years
