If a sample consists of 800 test scores, how many test scores would be at or above the 91th percentile?

To determine how many test scores would be at or above the 91st percentile, we need to understand what the 91st percentile means. 

The 91st percentile indicates that 91% of the test scores are below a certain value, leaving 9% of the test scores at or above that value. So, we want to find 9% of 800, which represents the number of test scores at or above the 91st percentile.

\[
9\% \text{ of } 800 = \frac{9}{100} \times 800 = 72
\]

Thus, **72 test scores** would be at or above the 91st percentile.

Would you like more details or have any questions about this?

Here are five related questions to deepen understanding:
1. What is the meaning of a percentile rank in a data set?
2. How would you calculate the 75th percentile for a different sample size?
3. What are quartiles, and how do they relate to percentiles?
4. How can you interpret a score that falls below the 25th percentile?
5. If you know the mean and standard deviation, how can you estimate percentiles using the normal distribution?

**Tip:** Percentiles are a useful way to compare individual scores to a larger data set, showing where a score ranks relative to others.

If a sample consists of 800 test scores, how many test scores would be at or above the 91st percentile?

Find out how many test scores are at or above the 91st percentile in a sample of 800. Using basic percentage calculations, you will learn that 9% of the scores fall in this range, resulting in 72 scores at or above the 91st percentile. This problem is ideal for students in Grades 6-8 learning about percentiles and data analysis.

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