In a normal distribution, the standard score (z-score) is calculated based on how many standard deviations a data value is from the mean.

1. A data value located 0.7 standard deviations below the mean has a z-score of: $z = -0.7$

2. A data value located 2.5 standard deviations above the mean has a z-score of: $z = 2.5$

3. The mean of the distribution has a z-score of: $z = 0$

If you have any questions or need further details, let me know! Here are some related questions you might consider:

1. What is the significance of the z-score in statistics?
2. How do you interpret a z-score of -1.5?
3. What percentage of data falls within one standard deviation of the mean in a normal distribution?
4. How can you convert a z-score back to a data value?
5. What is the relationship between z-scores and probabilities in a normal distribution?

Tip: When analyzing z-scores, remember that negative values indicate a position below the mean, while positive values indicate a position above the mean.