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http://www.openoffice.org/issues/show_bug.cgi?id=90759
------- Additional comments from [EMAIL PROTECTED] Mon Jun 16 12:09:00 +0000
2008 -------
z.test does the two-tailed test by default:-
=====
> y<-c(110,105,105,100)
> z.test(y,100,5)
One Sample z-test
data: y
z = 2, n = 4.0, Std. Dev. = 5.0, Std. Dev. of the sample mean = 2.5,
p-value = 0.0455
alternative hypothesis: true mean is not equal to 100
95 percent confidence interval:
100.1001 109.8999
sample estimates:
mean of y
105
======
p-value of 0.0455 is exactly twice what Excel gives - which is right, because
when the sample mean is above the population mean Excel does the one-tailed
test.
In summary this all hangs together.
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