Using the t-distribution, as we have the standard deviation for the sample, it is found that there is a significant difference between the wait times for the two populations.
<h3>What are the hypothesis tested?</h3>
At the null hypothesis, we test if there is no difference, that is:

At the alternative hypothesis, it is tested if there is difference, that is:

<h3>What are the mean and the standard error of the distribution of differences?</h3>
For each sample, we have that:


For the distribution of differences, we have that:


<h3>What is the test statistic?</h3>
It is given by:

In which
is the value tested at the null hypothesis.
Hence:



<h3>What is the p-value and the decision?</h3>
Considering a one-tailed test, as stated in the exercise, with 100 - 1 = 99 df, using a t-distribution calculator, the p-value is of 0.014.
Since the p-value is less than the significance level of 0.05, it is found that there is a significant difference between the wait times for the two populations.
More can be learned about the t-distribution at brainly.com/question/16313918