Decile: Difference between revisions
CSV import Tags: Reverted mobile edit mobile web edit |
No edit summary Tag: Manual revert |
||
| Line 35: | Line 35: | ||
{{No image}} | {{No image}} | ||
{{No image}} | {{No image}} | ||
Latest revision as of 16:55, 22 March 2025
Decile is a statistical term that refers to the division of a data set into ten equal parts. It is a type of quantile, which is a broader term for divisions of a data set. The decile is often used in statistical analysis to understand the distribution of data.
Definition[edit]
A decile is any of the nine values that divide the sorted data set into ten equal parts, so that each part represents 1/10 of the sample or population. This means that approximately 10% of the data is less than or equal to the first decile, 20% is less than or equal to the second decile, and so on.
Calculation[edit]
The calculation of deciles can be done in several ways, but a common method is to sort the data set in ascending order and then to determine the values at the specific points that divide the data set into ten equal parts.
Uses[edit]
Deciles are used in a wide range of fields, including statistics, economics, business, and healthcare. They are particularly useful in understanding the distribution of data and in identifying outliers.
In healthcare, for example, deciles can be used to understand the distribution of patient outcomes, with the lowest decile representing the worst outcomes and the highest decile representing the best outcomes. This can help healthcare providers identify areas for improvement and monitor progress over time.
In business, deciles can be used to understand the distribution of sales, with the lowest decile representing the lowest sales and the highest decile representing the highest sales. This can help businesses identify trends and make strategic decisions.
See also[edit]
References[edit]
<references />


