t-test for independent means

label Statistics
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If an experimenter conducts a t-test for independent means and rejects the null hypothesis, the correct interpretation is that:

* he samples were from populations that were actually dependent rather than independent.

* The variance of one sample is so much larger than the variance of the other sample that the variances of the parent populations must not have been the same after all.

* or another answer all together.

Mar 30th, 2015

Solution:

The variance of one sample is so much larger than the variance of the other sample that the variances of the parent populations must not have been the same after all.

Mar 30th, 2015

Just making sure that it may not be 

The mean of one sample is so far from the mean of the other sample that the samples must come from populations with different means.

OR

* The mean of one sample is statistically the same as the mean of the other sample, so they probably come from populations with equal means.


Mar 30th, 2015

The mean of onne sample is so far from the mean of the sother sample that the samples must come from populations with different means.

This solution is the better one. 


What I replied for was the nearest choice but this one is correct.

Mar 30th, 2015

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Mar 30th, 2015
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