Asked by Stephanie
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
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
Answers
Answered by
PsyDAG
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.
This should lead you to your answer. Thanks for asking.
There are no AI answers yet. The ability to request AI answers is coming soon!
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.