posted by Stephanie on .
the p-value for a significance test is .0358. a correct interpretation of this p-value would be:
a) about 3.6% of the data are significant
b) about 3.6% of all samples are significant
c) about 3.6% of all samples would produce a test statistic at least as extreme as ours if the null hypothesis is true
d) there is sufficient evidence to fail to reject the null hypothesis
The P value is the probability that the results you have found would occur solely by chance.
This should lead you to your answer. Thanks for asking.