A statistician reported the results from a particular experiment to the scientist who conducted it. The report states that on one specific part of the experiment, a statistical test result yielded a p-value of 0.15. Based on this p-value, what should the scientist conclude?

A) The test was not statistically significant because 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.

B) The test was not statistically significant because 2 0.15 = 0.3, which is less than 0.5.

C) The test was not statistically significant because 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.

D) The test was statistically significant because a p-value of 0.15 is greater than a significance level of 0.05.

E) The test was statistically significant because p = 1 0.15 = 0.85, which is greater than a significance level of 0.05.