Hi Smruti,
In the example in question, you are probably doing something like this:
# I didn't see any attachment for the data
X<-rnorm(99,mean=59.96753)
t.test(X,mu=50,alternative="less")
One Sample t-test
data: X
t = 101.29, df = 98, p-value = 1
alternative hypothesis: true mean is less than 50
95 percent confidence interval:
-Inf 60.07022
sample estimates:
mean of x
59.90779
What this probably means is since the lower confidence interval for
the test is undefined, the program returns a p-value of 1 as an
estimate, much like the p-value<2.2e-16 for the other tests.
1-2e-16
[1] 1
Neither of these values are exact, but indicate that the null
hypothesis should be accepted or rejected respectively.
Jim