To compute the trainee's z-score, you can use the formula for the z-score:
\[ z = \frac{(X - \mu)}{\sigma} \]
where:
- \( X \) is the score of the trainee,
- \( \mu \) is the mean of the test scores,
- \( \sigma \) is the standard deviation of the test scores.
From the information provided:
- \( X = 77 \)
- \( \mu = 81 \)
- \( \sigma = 3 \)
Now, substitute the values into the formula:
\[ z = \frac{(77 - 81)}{3} \]
Calculate \( 77 - 81 \):
\[ 77 - 81 = -4 \]
Now substitute \(-4\) into the formula:
\[ z = \frac{-4}{3} \]
Calculating that gives:
\[ z \approx -1.33 \]
Therefore, the trainee's z-score is:
\[ \boxed{D) , z = -1.33} \]