The data scientists have decided to use a permutation test.

Assign permutation_test_reason to the number corresponding to the reason they made this choice. (4 points)

1. Since a person's age can't be related to their gender under the null hypothesis, it doesn't matter who is labeled "male" and who is labeled "female", so you can use permutations.

2. Under the null hypothesis, permuting the labels in the sampled_ages table is equivalent to drawing a new random sample with the same number of males and females as in the original sample.

3. Under the null hypothesis, permuting the rows of sampled_ages table is equivalent to drawing a new random sample with the same number of males and females as in the original sample.