On a certain portion of an experiment, a statistical test result yielded a p-value of 0.15. What can you conclude? If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 15% of the time, so the test is not statistically significant.
2(0.15) = 0.30 < 0.5; the test is not statistically significant.
0.15 > 0.05; the test is statistically significant.
If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 85% of the time, so the test is not statistically significant.
p = 1 - 0.15 = 0.85 > 0.05; the test is statistically significant.