Hi Somayya,
When you perform a t-test on two sets of numeric values, the answer
you get tells you how likely it is that those two sets of numbers came
from the same distribution. What most people are interested in is
whether the means of those two distributions are different. Let's see,
you seem to
Perhaps someone could, but:
1) It is normal on public Internet mailing lists and forums to simply ask the
actual question and let people respond if they know the answer, rather than
asking for permission to ask.
2) You should read the Posting Guide for this mailing list... your question
does n
Hello for my project I am trying to write up my results from the paired t-test
I conducted.
Please could someone help.
Thank you,
Somayya Gardee
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Felipe Carrillo wrote:
Hi Ted:
Thanks for your prompt reply and explanation.
That's what I was wondering, why would one need to test mu=0 ,which is the t.test default. But reading Peter Dalgaard's book and looking at some examples online, I saw t.test being used like that; t.test(datasetname) wi
I take it back, Peter Dalgaard's book uses t.test with mu=7725 and no mu=0. I
got the script online.
Hi Ted:
Thanks for your prompt reply and explanation.
That's what I was wondering, why would one need to test mu=0 ,which is the
t.test default. But reading Peter Dalgaard's book and looking at
Hi Ted:
Thanks for your prompt reply and explanation.
That's what I was wondering, why would one need to test mu=0 ,which is the
t.test default. But reading Peter Dalgaard's book and looking at some examples
online, I saw t.test being used like that; t.test(datasetname) with no other
arguments.
On 09-Aug-08 20:31:33, Felipe Carrillo wrote:
># Hi all:
> #I got a vector with fish lengths(mm)
> # Can someone help me interpret the output of
> # a t.test in plain english?
> # Based on the t.test below I can say that
> # I reject the null hypothesis because
> # th
# Hi all:
#I got a vector with fish lengths(mm)
# Can someone help me interpret the output of
# a t.test in plain english?
# Based on the t.test below I can say that
# I reject the null hypothesis because
# the p-value is smaller than the the significance
# leve
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