Answer:
Sample 2 has least percent error.
Explanation:
The formula for percent error is

Percent error in sample 1:

The percent error in sample 1 is 2.19.
Percent error in sample 2:

The percent error in sample 2 is 1.64.
Percent error in sample 3:

The percent error in sample 3 is 3.1.
Percent error in sample 4:

The percent error in sample 4 is 2.99.
Therefore sample 2 has least percent error.