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The question asks if the statement "In a normal distribution, about 95% of all data values lie within 2 standard deviations of the mean" is true or false.

This statement is **true**. According to the Empirical Rule (or 68-95-99.7 rule) for a normal distribution:
- About **68%** of the data lies within 1 standard deviation of the mean.
- About **95%** lies within 2 standard deviations.
- About **99.7%** lies within 3 standard deviations.

Therefore, the correct answer is **D. The statement is true**.

Would you like more details or have any questions?

Here are 5 related questions to expand your understanding:
1. What is the Empirical Rule in statistics?
2. How is the standard deviation used to measure data spread in a normal distribution?
3. What are examples of real-world phenomena that follow a normal distribution?
4. How do you calculate standard deviation for a given dataset?
5. What is the significance of the 68%, 95%, and 99.7% in the Empirical Rule?

**Tip**: The Empirical Rule only applies to normal distributions, so it's important to verify that the data is approximately normal before using these percentages.

In a normal distribution, about 95% of all data values lie within 2 standard deviations of the mean. Determine if the statement is true or false.

Determine if the statement about normal distribution is true: 95% of all data values lie within 2 standard deviations of the mean. Understand how the Empirical Rule explains data spread in normal distributions. Suitable for students in Grades 9-12.

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