--- id: 635090f47eb6d9563a6fed05 title: Step 26 challengeType: 0 dashedName: step-26 --- # --description-- Now it is time to apply what you have learned to the `getMedian` function. Inside your `getMedian` function, check if the length of `array` is even. If it is, find the middle two numbers, calculate their mean, and return the result. If the length of `array` is odd, return the middle number. Make sure to work with the `sorted` array to find the middle numbers. Also if you need help, refer back to the previous few steps to see how to find the median for an array. # --hints-- Your `getMedian` function should return the mean of the middle two numbers if the array length is even. ```js assert.equal(getMedian([1,2,3,4,5,6]), 3.5); assert.equal(getMedian([1,2,3,4,5,6,7,8,9,10]), 5.5); ``` Your `getMedian` function should return the middle number if the array length is odd. ```js assert.equal(getMedian([1,2,3,4,5]), 3); assert.equal(getMedian([1,2,3,4,5,6,7,8,9]), 5); ``` # --seed-- ## --seed-contents-- ```html Statistics Calculator

Statistics Calculator

Enter a list of comma-separated numbers.

The mean of a list of numbers is the average, calculated by taking the sum of all numbers and dividing that by the count of numbers.

Mean:

The median of a list of numbers is the number that appears in the middle of the list, when sorted from least to greatest.

Median:

The mode of a list of numbers is the number that appears most often in the list.

Mode:

The range of a list of numbers is the difference between the largest and smallest numbers in the list.

Range:

The variance of a list of numbers measures how far the values are from the mean, on average.

Variance:

The standard deviation of a list of numbers is the square root of the variance.

Standard Deviation:

``` ```css body { margin: 0; background-color: rgb(27, 27, 50); text-align: center; color: #fff; } button { cursor: pointer; background-color: rgb(59, 59, 79); border: 3px solid white; color: white; } input { background-color: rgb(10, 10, 35); color: white; border: 1px solid rgb(59, 59, 79); } .bold { font-weight: bold; } ``` ```js const getMean = (array) => array.reduce((acc, el) => acc + el, 0) / array.length; --fcc-editable-region-- const getMedian = (array) => { const sorted = array.sort((a, b) => a - b); } --fcc-editable-region-- const calculate = () => { const value = document.querySelector("#numbers").value; const array = value.split(/,\s*/g); const numbers = array.map(el => Number(el)).filter(el => !isNaN(el)); const mean = getMean(numbers); document.querySelector("#mean").textContent = mean; } ```