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To find the percent of the total area under the standard normal curve between the z-scores \( z = 0.7 \) and \( z = 1.3 \), we can use the standard normal distribution table provided.

### Step-by-Step Solution:

1. **Look up \( z = 0.7 \) in the table**:
   - From the image, the area for \( z = 0.7 \) is approximately **0.258**.

2. **Look up \( z = 1.3 \) in the table**:
   - The area for \( z = 1.3 \) is approximately **0.403**.

3. **Calculate the area between \( z = 0.7 \) and \( z = 1.3 \)**:
   - Subtract the area at \( z = 0.7 \) from the area at \( z = 1.3 \):
     \[
     0.403 - 0.258 = 0.145
     \]

4. **Convert to a percentage**:
   - To express this area as a percentage, multiply by 100:
     \[
     0.145 \times 100 = 14.5\%
     \]

### Answer:
The percent of the total area under the standard normal curve between \( z = 0.7 \) and \( z = 1.3 \) is **14.5%**.

Would you like more details on any part of this calculation? 

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Here are some related questions to expand on this topic:

1. How do we interpret areas under the standard normal curve in probability terms?
2. What would be the area between other z-scores, such as \( z = -0.5 \) and \( z = 1.5 \)?
3. How would we find the area if one of the z-scores was negative?
4. What is the significance of 0.5 in the standard normal table?
5. How does the area change as z-scores get closer to zero?

**Tip:** The total area under the standard normal curve is always 1 (or 100%), with half on each side of the mean (z = 0).

Find the percent of the total area under the standard normal curve between the following z-scores: z = 0.7 and z = 1.3.

Learn how to find the percent of the total area under the standard normal curve between the z-scores 0.7 and 1.3. This solution explains key concepts in the standard normal distribution and provides a step-by-step calculation, ideal for high school and college students studying statistics.

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