The observed significance level is the chance of getting a test statistic as extreme as or more extreme than the observed one. The chance is computed on the basis that the null hypothesis is right. The smaller this chance is, the stronger the evidence against the null.

The observed significance level gives the chance P of getting evidence against the null hypothesis as strong as the evidence at hand - or stronger. It does not give the chance of the null hypothesis being right. In fact P is computed on the basis of the null hypothesis.

Then

a. both statements are right

b. the first statement is right, but the second is wrong

c. the second statement is right, but the first is wrong

d. both statements are wrong