Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
39 changes: 39 additions & 0 deletions Maths/AverageMedian.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,39 @@
/*
* Median: https://en.wikipedia.org/wiki/Median
*
* function averageMedian
* to find the median value of an array of numbers
* the numbers in an array will be sorted in ascending order by the function sortNumbers
* if the length of the array is even number, the median value will be the average of the two middle numbers
* else if the length of the array is odd number, the median value will be the middle number in the array
*/

/*
* Doctests
*
* > averageMedian([8, 9, 1, 2, 5, 10, 11])
* 8
* > averageMedian([15, 18, 3, 9, 13, 5])
* 11
* > averageMedian([1,2,3,4,6,8])
* 3.5
*/

const averageMedian = (numbers) => {
let median = 0; const numLength = numbers.length
numbers = numbers.sort(sortNumbers)

if (numLength % 2 === 0) {
median = (numbers[numLength / 2 - 1] + numbers[numLength / 2]) / 2
} else {
median = numbers[(numLength - 1) / 2]
}

return median
}

const sortNumbers = (num1, num2) => {
return num1 - num2
}

export { averageMedian }
21 changes: 21 additions & 0 deletions Maths/test/AverageMedian.test.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,21 @@
import { averageMedian } from '../AverageMedian'

test('should return the median of an array of numbers:', () => {
const medianValue = averageMedian([1, 2, 6, 4, 5])
expect(medianValue).toBe(4)
})

test('should return the median of an array of numbers:', () => {
const medianValue = averageMedian([8, 9, 1, 2, 5, 10, 11])
expect(medianValue).toBe(8)
})

test('should return the median of an array of numbers:', () => {
const medianValue = averageMedian([15, 18, 3, 9, 13, 5])
expect(medianValue).toBe(11)
})

test('should return the median of an array of numbers:', () => {
const medianValue = averageMedian([1, 2, 3, 4, 6, 8])
expect(medianValue).toBe(3.5)
})