To determine the P-value of a test statistic, you'll typically follow these steps:

1. Identify the test statistic: The test statistic could be a z-score, t-score, chi-square, or other type depending on the test you are conducting.

2. Determine the type of test: Is it a one-tailed test or a two-tailed test? This affects how you calculate the P-value.

3. Use the test statistic: Once you have the value of the test statistic, you can use a table (like a z-table or t-table) or a statistical calculator to find the P-value.

4. P-value Calculation: For a normal distribution (z-test), you can calculate the P-value by finding the area under the curve to the right (for a right-tailed test) or to the left (for a left-tailed test). For two-tailed tests, you will need to calculate the area on both sides of the distribution.

If you can provide the specific test statistic and the type of test you're working with, I can help you calculate the P-value accurately.