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.