The 76th percentile is a statistical measure that tells you that 76% of the data points in a given set are below this value, and 24% of the data points are above it. In other words, it identifies the point in a distribution below which 76% of the observations fall.

### Example:
If a student scores in the 76th percentile on a test, that means they scored better than 76% of the students who took the test, but 24% of students scored higher than them.

Percentiles are often used in:
- Standardized testing
- Data analysis
- Economics and health statistics

Would you like more details on how to calculate the 76th percentile in a data set?

Here are 5 related questions:
1. How is a percentile rank different from a percentage?
2. Can you explain the difference between percentiles and quartiles?
3. How can I calculate the percentile rank of a specific value in a dataset?
4. What is the difference between the median and the 50th percentile?
5. How are percentiles used in standard normal distribution?

**Tip**: Percentiles are a great way to understand the relative position of data points within a distribution.

The 76th percentile is a statistical measure indicating that 76% of the data falls below this value and 24% above. Learn how to interpret percentiles in data analysis, with examples from standardized testing and economics. Suitable for students in Grades 9-12.

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