In checking over the solutions to some homework that I had assigned I
observed the fact that in R (version 2.4.0) pnorm(-1.46) gives
0.07214504. The tables in the text book that I am using for the
course give the probability as 0.0722.
Fascinated, I scanned through 5 or 6 other text books (amongst the
dozens of freebies from publishers that lurk on my shelf) and found
that some agree with R (giving P(Z <= -1.46) = 0.0721) and some agree
with the first text book, giving 0.0722.
It is clearly of little-to-no practical import, but I'm curious as to
how such a discrepancy would arise in this era. Has anyone any
idea? Is there any possibility that the algorithm(s) used to
calculate this probability is/are not accurate to 4 decimal places?
Could two algorithms ``reasonably'' disagree in the 4th decimal
place?
cheers,
Rolf Turner
[EMAIL PROTECTED]
______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
