Once we have the test statistic, we compare it to a standard normal distribution (assuming the sample size is large enough for the Central Limit Theorem to apply) to determine the p-value associated with this test statistic. A test statistic of 2.5 corresponds to a p-value less than 0.01. The p-value is not closer to 1.0 or 0.1 but is closer to 0.01 in this case. This implies that if the null hypothesis were true, there is very strong evidence against it based on the observed sample data. Therefore, in this scenario, the p-value is closer to 0.01. If you have any more questions or need further clarification, feel free to ask