https://file.aiquickdraw.com/mathbot/file/1730255384631vbr0a085.jpg

This question refers to the concept of a **normal distribution**. In a normal distribution:

- About **68%** of the data lies within **one standard deviation (±1 SD)** of the mean.
- **95%** of the data lies within **two standard deviations (±2 SD)** of the mean.
- **99.7%** of the data lies within **three standard deviations (±3 SD)** of the mean.

The shaded region in the image is within ±1 SD from the mean, so **68%** of the data falls within this range.

**Correct answer: 68%**

Would you like more details or have any other questions?

Here are five related questions you might find interesting:
1. How do you calculate standard deviation for a dataset?
2. What does a normal distribution signify in statistics?
3. How is the 68-95-99.7 rule useful in probability?
4. Can the normal distribution be skewed?
5. What are examples of data that follow a normal distribution?

**Tip:** The "68-95-99.7 rule" is a quick way to remember how data is distributed in a normal distribution.

This data is normally distributed. What percent of the data is in the shaded region?

Explore how to determine the percentage of data in the shaded region within a normal distribution. This problem demonstrates the Empirical Rule (68-95-99.7 Rule) and explains that 68% of data falls within one standard deviation from the mean.

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