[R] one sample t-test
Karsten.Rincke at physik.uni-regensburg.de
Sun Feb 24 20:04:24 CET 2013
I am reasoning about a question concerning the t-test for one sample. My
data includes 150 values (mean 10.07) which I want to compare to mu=9. A
tow-sided t-test yields
One Sample t-test
t = 3.0099, df = 149, p-value = 0.00307
alternative hypothesis: true mean is not equal to 9
95 percent confidence interval:
mean of x
The result would be interpreted as being significant. Furthermore it can
be said that the true mean is greater than 9 because of the confidence
*My question is*: Why does it seem to be not possible to conduct a
t-test with option "greater"? The result I get is:
Fehler in t.test.default(data, "greater", mu = 9) :
nicht genug 'y' Beobachtungen
R complains about the amount of supplied data.
I'd like to understand this behavior.
Thank you for any hints!
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