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The question you're dealing with involves calculating and comparing the **z-scores** of two baseball players based on their number of home runs in different seasons. A z-score measures how many standard deviations a data point (in this case, the number of home runs) is from the mean. The formula for the z-score is:

\[
z = \frac{X - \mu}{\sigma}
\]

where:
- \(X\) is the player's number of home runs (60 for player A, 66 for player B),
- \(\mu\) is the mean number of home runs in the season,
- \(\sigma\) is the standard deviation of home runs for that season.

To answer the question fully, I would need the mean (\(\mu\)) and standard deviation (\(\sigma\)) values for both seasons. You mentioned that there's an icon to view this data—could you provide those values?

Once I have that data, I can calculate the z-scores for both players, compare them, and determine whose performance was more impressive.

Let me know if you need more details on z-scores, or share the necessary information from the table! Would you like help with any further steps?

### 5 Related Questions:
1. What does a z-score indicate in terms of performance relative to the average?
2. How do standard deviation and mean affect the calculation of a z-score?
3. How can z-scores be used to compare data points from different datasets?
4. What conclusions can you draw if one z-score is positive and another is negative?
5. How can you interpret small vs. large absolute values of z-scores?

### Tip:
A z-score close to 0 indicates that the data point is near the mean, while a higher absolute z-score (positive or negative) indicates that the data point is far from the mean, meaning it’s an unusually high or low value.

One season, baseball player A hit 60 home runs. During a different season, baseball player B hit 66 home runs. How does the performance of player A compare to the performance of player B? Use the provided means and standard deviations for each season to determine whose home run feat was more impressive.

Learn how to calculate z-scores to compare the home run feats of two baseball players from different seasons. This problem demonstrates the use of standardization to determine which player's performance was more impressive.

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