Solution:
Given:

Using the Z-score formula, the Z-score of the data is gotten below.

Hence,

From the Z-scores table, the probability that a person will wait for more than 1 minute is;

Therefore, to four decimal places, the probability that a person will wait for more than 1 minute is 0.8413