Final answer:
The p-value of the hypothesis test is approximately 0.0103.
Step-by-step explanation:
The p-value of a hypothesis test is the probability of observing a test statistic equally extreme or more extreme than the one calculated, assuming the null hypothesis is true. In this case, the test statistic is z = 3.32, and the area to the right of it under the standard normal density curve is 0.091. To find the p-value, we need to calculate the area to the right of the test statistic in the standard normal distribution.
The p-value can be calculated as P(Z > 3.32), which is approximately 0.0103. Therefore, the p-value of the hypothesis test is approximately 0.0103.