Greetings,
I'm rather new to R, and only just subscribed to the mailing list.
I have run into a strange result in a t-test. The data represents the
the hypothetical differences obtained for a t-test for dependent samples.
All the numeric output looks OK, but the statement that the alternative
hypothesis is accepted seems rather strange.
> data <- c(-6,6,-4,11,6,-3,-12,7,-1,4)
> length(data)
> t.test (data,mu=0)
One Sample t-test
data: data
t = 0.3548, df = 9, p-value = 0.7309
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-4.300873 5.900873
sample estimates:
mean of x
0.8
Can someone explain this? Beware though, I'm a forester and may not
understand too technical explanations.
Patrick
F. Patrick Graz wrote:> Greetings, > I'm rather new to R, and only just subscribed to the mailing list. > > I have run into a strange result in a t-test. The data represents the > the hypothetical differences obtained for a t-test for dependent samples. > > All the numeric output looks OK, but the statement that the alternative > hypothesis is accepted seems rather strange. >It doesn't say which hypothesis is accepted - the printed output just helps remind you what the alternative hypothesis is. In this case, a p-value of 0.73 means you would be really, really safe sticking with the null hypothesis. Cheers Jason (who is deliberately not dragging the professed non-statistician into the discussion we've had recently on the merits of p-values). :)
On Sat, 01 May 2004 14:40:54 +0100, "F. Patrick Graz" <pgraz at polytechnic.edu.na> wrote:>All the numeric output looks OK, but the statement that the alternative >hypothesis is accepted seems rather strange.I think you misread it. It says>alternative hypothesis: true mean is not equal to 0which should be read as alternative hypothesis: "true mean is not equal to 0" not alternative hypothesis: true, mean is not equal to 0 Duncan Murdoch
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