Final answer:
The P-value for the test is approximately 0.0124.
Step-by-step explanation:
To find the P-value for testing H0: μ = 12.03 versus H1: μ ≠ 12.03, we need to use the Z-test statistic formula:
Z = (X¯¯¯ - μ) / (σX¯¯¯)
Given X¯¯¯ = 11.98, σX¯¯¯ = 0.02, and μ = 12.03:
Z = (11.98 - 12.03) / 0.02 = -2.50
We need to find the probability of obtaining a Z-value less than -2.50 and the probability of obtaining a Z-value greater than 2.50. Since the alternative hypothesis is two-sided, we double the probability:
P-value = 2 * P(Z > 2.50) = 2 * P(Z < -2.50)
Using a Z-table or calculator, we find that P(Z < -2.50) = 0.0062. Therefore, the P-value for the test is approximately 0.0124.