Posted by **Stephanie** on Tuesday, April 28, 2009 at 5:16pm.

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

## Answer this Question

## Related Questions

- Stats - A statistical test is performed, and its P-value turns out to be about 3...
- statistics - 1000 significance tests are performed using alpha = .05. Assumimg ...
- Statistics - A statistical test is performed, and its P-value turns out to be ...
- Statistics:Significance Test and Confidence Interv - Significance Test and ...
- stats - which test to use One-sample or independent samples t-test? A researcher...
- Statistics - Which of the following statements is not true about samples that ...
- Statistics:Significance Test and Confidence Interv - Significance Test and ...
- statistics - In a one-way ANOVA, there are three independent samples, with n1 8...
- Statistics - I need help with this please. A researcher is designing a research ...
- business statistics - Please, I would the step to do this problem. In a one-way ...