A researcher calculates a test statistic and finds that the p value for this test is .03. What does this result mean?
A) There is 3% likelihood of obtaining the test statistic value, if the null were true.
B) The probability of the committing a Type I error if we retain null hypothesis is 3%.
C) The probability of the committing a Type II error if we reject the null hypothesis is 3%.
D) There is 3% likelihood that the researcher's hypothesis is correct.