Regards

- Thread starter javedbtk
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Regards

The tests are about the populations from which the sample data were drawn, not about about the sample data itself.

p-values are a means to decide whether the null hypothesis (such as "in the population, the mean difference between

measurements is exactely = 0") can be rejected, based on the evidence gained from the sample data.

Maybe you should do some introductory reading about inferential statistics, tests of significance, and p-values .

With kind regards

Karabiner

p-values are a means to decide whether the null hypothesis (such as "in the population, the mean difference between

measurements is exactely = 0") can be rejected, based on the evidence gained from the sample data.

Maybe you should do some introductory reading about inferential statistics, tests of significance, and p-values .

With kind regards

Karabiner

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are different. If you have a very small sample size, then it is not easy to reject the Null hypothesis, even

if the sample data show a marked difference. With small sample size, even marked differences could

still be due to mere chance.

In addition, a mean of 75 versus 86 would not really indicate a large difference in the sample, if the data

are spread out widely (i.e. if they have a large standard deviation).

With kind regards

Karabiner

are different. If you have a very small sample size, then it is not easy to reject the Null hypothesis, even

if the sample data show a marked difference. With small sample size, even marked differences could

still be due to mere chance.

In addition, a mean of 75 versus 86 would not really indicate a large difference in the sample, if the data

are spread out widely (i.e. if they have a large standard deviation).

With kind regards

Karabiner