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Centile

  • A centile gives the position of a value relative to other values in a dataset, expressed as a percentage.
  • It shows the percentage of observations that a value is greater than or equal to (e.g., 50th centile means ≥ 50% of values).
  • Commonly used to compare individuals and groups and in areas such as medical and health research.

Centile is a term used in statistics to describe the relative standing of a value within a dataset. It is a measure of where a particular value falls in relation to the rest of the values in the dataset, and is typically expressed as a percentage.

A centile indicates the percentage of observations in a dataset that are less than or equal to a given value. For example, a value at the 50th centile is greater than or equal to 50% of the other values; a value at the 75th centile is greater than or equal to 75% of the other values. Centiles help to understand the distribution of values within a dataset and to compare the relative standing of different values or groups.

If a dataset contains 1000 values and a particular value falls at the 50th centile, it means that it is greater than or equal to 50% of the other values in the dataset. Similarly, a value at the 75th centile is greater than or equal to 75% of the other values.

Example: children’s heights within a group

Section titled “Example: children’s heights within a group”

If a group of children are measured for their height and the resulting dataset is used to calculate the centile for each child’s height, a child with a height at the 50th centile would be taller than or equal to 50% of the other children in the group, while a child with a height at the 75th centile would be taller than or equal to 75% of the other children in the group.

If the height centiles of two groups of children are calculated and compared, the comparison can show relative standing between groups. For instance, if one group has a higher percentage of children with a height at the 75th centile compared to the other group, it indicates that the first group is taller on average than the second group.

  • Measuring performance or characteristics of a group (for example height, weight, intelligence, or income).
  • Comparing the distribution of values between different groups.
  • Medical and health research, for measuring growth and development and identifying potential health issues.