On 2012-07-22 13:09, Henrik Singmann wrote:
Hi Mary,
I think the good old t-test is what you want:
Maybe, but calculating p-values with absolutely no consideration
of assumptions is pure folly. It may well be that Mary has some
assumptions in mind, but the way the question was posed does not
instil confidence in that assumption.
Peter Ehlers
x <- sample(1:50)
t.test(x, mu = 300)
gives:
One Sample t-test
data: x
t = -133.2, df = 49, p-value < 0.00000000000000022
alternative hypothesis: true mean is not equal to 300
95 percent confidence interval:
21.36 29.64
sample estimates:
mean of x
25.5
Best,
Henrik
Am 22.07.2012 21:37, schrieb Mary Kindall:
I have a value
a=300
observation (x) = sample(1:50)
How to find a p-value from this. I need to show that "a" is different fom
mean(x).
Thanks
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