If an experimenter conducts a t test for independent means and rejects the null hypothesis, the correct interpretation is that
A) the samples were from populations that were actually dependent rather than independent.
B) 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.
C) 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.
D) 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.
Ans: C) 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.
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