a sample consists of 500 test scores, how many test scores of them would be at or below the 12th percentile?

To find how many test scores are at or below the 12th percentile in a sample of 500 test scores, you multiply the total number of scores by 12%.

Here's the calculation:

\[
\text{Number of scores} = 500 \times \frac{12}{100} = 500 \times 0.12 = 60
\]

So, 60 test scores would be at or below the 12th percentile.

Would you like more details or have any other questions?

Here are 5 related questions:
1. What is the significance of percentiles in test scores?
2. How do you calculate a specific percentile for a given dataset?
3. How do percentiles compare to z-scores in statistics?
4. What is the difference between a percentile and a percentile rank?
5. How do you determine the percentile if the number of scores isn't easily divisible?

**Tip:** Percentiles help in understanding the distribution of scores relative to a population, making them useful in comparing individual scores to a larger dataset.

A sample consists of 500 test scores, how many test scores of them would be at or below the 12th percentile?

Discover how to calculate how many test scores are at or below the 12th percentile in a sample of 500. This example involves basic arithmetic and understanding percentiles, making it suitable for students in Grades 6-8.

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