Final answer:
Without additional data or context, we cannot assess the accuracy of the proportion of Phoenix residents' support for toll roads. Familiarity with Type I and Type II errors provide insight into potential errors in proportion estimation, but do not offer a specific answer in this case. The answer is (d) Not enough information.
Step-by-step explanation:
The question you've asked relates to determining the accuracy of a proportion estimate, which is grounded in statistics, a branch of mathematics. To assess whether the proportion of residents in Phoenix favoring the building of toll roads to complete the freeway system is either overestimated, underestimated, accurate, or if there is not enough information, one would typically require additional data on survey methodology, sample size, margin of error, etc. Without this information, we cannot determine the accuracy of the proportion estimate.
However, statistical errors, such as Type I error and Type II error, are relevant concepts that might help to understand potential issues with the estimation. A Type I error occurs when we falsely reject a true null hypothesis, like concluding a percentage is lower than it actually is. A Type II error happens when we fail to reject a false null hypothesis, like accepting a percentage as high when it is actually lower. Applying these errors to the question of toll roads in Phoenix without concrete data is speculative, and thus the answer is: d) Not enough information.