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student's t-test - (Jul/17/2007 )

can anybody help me understand student's t-test?
p<.005 or p<.0005 , what does it mean?

thx in advance

-hasina-

The p value from the t-test tells you whether the means are significantly different or not.
A p< or equal to 0.05 means the difference is significant.

Hope that helps,
Ceri

-Ceri-

As far as I konw p is "the probability (possibility? I don't know the proper vocab.) that the null hypothesis is true".
So basically it should be the possibility your hypothesis is wrong. So the lower the p the "righter"!
As Ceri says, it helps you to identify if your data are significant; in graphs significant data are usually marked with * if p <0.05 or ** if p.< 0.01.
Hope this'll help you!

-panda-

P value <0.05 means that the probability that you will get the value of the measurement as large as you have observed between the two samples U have studied occurring in the population just by chance is less than 5%.

Meaning that, suppose you are collecting data of two samples to see if the measurement between two samples are different. Let's say U r measuring height of boys and girls of same age. And, at the end of the experiment you come with a set of measurements for the two variables. You find the mean of height of boys and that of girls and determine the p value. Let's say the p value is <0.01.

This will mean that from the population of that age, if U randomly measure height of boys and girls, the chances of observing the difference between them just by chance is 1 in 10. So, 9 of the differences U got are real while 1 might have happened just by chance. So, higher the value of P, more likely that the observed difference was just by chance and does not happen in real.

p<0.05 is a randomly assigned value and it is assumption that if the probability of something happening just by chance is 1 in 20 then it can be considered to be significantly different.

-Bungalow Boy-

I'd suggest to read a book about statistics (simplified one for biologists). If you don't have enough time for that, then you can check this page:
http://en.wikipedia.org/wiki/P_value

p value is not associated only with t-test, but with any kind of hypothesis testing. Cheers. dry.gif

-Kupac-

QUOTE (panda @ Jul 18 2007, 04:26 PM)
As far as I konw p is "the probability (possibility? I don't know the proper vocab.) that the null hypothesis is true".

Wrong. See below on the wikipedia page I linked (under Frequent misunderstandings). The coin flipping example and the interpretation clarifies what it is.

-Kupac-

Thx to Ceri, Panda, Bungalow Boy and Kupac for kindly make some time to reply to my question. It helps me a lot.
regards









QUOTE (Kupac @ Jul 18 2007, 01:52 PM)
QUOTE (panda @ Jul 18 2007, 04:26 PM)
As far as I konw p is "the probability (possibility? I don't know the proper vocab.) that the null hypothesis is true".

Wrong. See below on the wikipedia page I linked (under Frequent misunderstandings). The coin flipping example and the interpretation clarifies what it is.

-hasina-

If you need an easy to understand introduction, download the trial version of Prism 5 here. It comes along with several manuals, including the statistics guide. It is easy to understand!

K.

-krümelmonster-

QUOTE (krümelmonster @ Jul 19 2007, 02:10 AM)
If you need an easy to understand introduction, download the trial version of Prism 5 here. It comes along with several manuals, including the statistics guide. It is easy to understand!

K.



thx krumelmonster

-hasina-