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Recognizing percentiles

Recognizing percentiles. A percentile is the value of a variable below which a certain percent of observations fall. So the 20th percentile is the value (or score) below which 20 percent of the observations may be found.

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Recognizing percentiles

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  1. Recognizing percentiles

  2. A percentile is the value of a variable below which a certain percent of observations fall. • So the 20th percentile is the value (or score) below which 20 percent of the observations may be found. • The term percentile and the related term percentile rank are often used in descriptive statistics as well as in the reporting of scores from norm-referenced tests.

  3. How to think about percentiles • Percentiles split a set of ordered data into hundredths. • (Deciles split ordered data into tenths). For example, 70% of the data should fall below the 70th percentile.

  4. Percentiles cluster around the MEDIAN • In a symmetrical bell curve, with enough cases, the median and the mean are equivalent.

  5. Bob has a percentile rank of 84. • What does this look like on a bell curve?

  6. Chris has a percentile rank of 62. • What does this look like on a bell curve?

  7. Jaime has a percentile rank of 89. • What does this look like on a bell curve?

  8. Andy has a percentile rank of 38. • What does this look like on a bell curve?

  9. Charlie has a percentile rank of 11. • What does this look like on a bell curve?

  10. Jackie has a percentile rank of 97. • What does this look like on a bell curve?

  11. Brooke has a percentile rank of 16. • What does this look like on a bell curve?

  12. Jason has a percentile rank of 99. • What does this look like on a bell curve?

  13. Jason has a percentile rank of 99.It might also look like this…

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