Dear Jim Lemon:
First of all, very sorry for such a long delay in replying to your e-mail.
I am quite surprised that you did not receive the .csv and .R files attachment
with my previous e-mail. I am re-sending those files. However, by any chance,
you do not receive them even this time, I must say that you have simulated the
values that are almost similar in the example on which I undertook the one
sample t-test using t.test. I have got a clear idea of how the t.test algorithm
works and generates values through the communication with the R-team so far.
Thank you very much for your detailed and prompt reply.
Kindest regards,
Smruti Bulsari
________________________________
From: Jim Lemon <drjimle...@gmail.com>
Sent: 14 March 2019 02:25
To: SMRUTI BULSARI; r-help mailing list
Subject: Re: [R] Issue with t.test
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
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