https://file.aiquickdraw.com/mathbot/file/173008773411069ccjlsd.jpg

The image shows a standard normal (z-score) table, which provides the area (or probability) under the standard normal curve to the left of a given z-score.

In the problem you mentioned, it asks for the area under the normal curve between the mean and -1.13 standard deviations. This requires finding the area corresponding to a z-score of -1.13.

### Steps:
1. Locate the z-score of -1.13 on the table. Since the z-table typically provides positive values, you can look up 1.13 and interpret it as a left tail from the mean.
2. Find the area for 1.13 in the z-table.

Looking at a standard z-table in the image, the z-score of 1.13 corresponds to an area of approximately **0.3708**. This value represents the area between the mean (z = 0) and z = -1.13.

Therefore, the percentage of the area under the curve between the mean and -1.13 standard deviations is about **37.1%** (rounding to the nearest tenth as requested).

Would you like more details on z-scores or further examples?

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### Related Questions
1. How do you calculate the area for a z-score greater than 1.13?
2. What is the significance of using z-scores in normal distributions?
3. How do you interpret a z-score of -1.13 in context?
4. How would you find the area between two z-scores?
5. How can you use z-scores to identify outliers in data?

#### Tip
When using a z-table, remember that it typically shows cumulative areas from the far left up to the z-score, so adjustments may be needed for areas between values.

Find the percentage of area under a normal curve between the mean and -1.13 standard deviations from the mean.

Learn how to find the percentage of area under a standard normal curve between the mean and -1.13 standard deviations. This problem covers core statistical concepts, such as standard normal distribution and z-scores, suitable for high school students.

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