Mean of Array After Removing Some Elements - Array - Easy - LeetCode
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Mean of Array After Removing Some Elements - Array - Easy - LeetCode

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  • 1The task is to calculate the mean of an array after removing the smallest and largest 5% of its elements.
  • 2Examples demonstrate that the mean is computed from the remaining elements after trimming the specified percentages.
  • 3The solution involves sorting the array and summing the appropriate elements, with a time complexity of O(nlogn).

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"The task is to calculate the mean of an array after removing the smallest and largest 5% of its elements."

Mean of Array After Removing Some Elements - Array - Easy - LeetCode

1619. Mean of Array After Removing Some Elements Easy

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Share Given an integer array arr, return the mean of the remaining integers after removing the smallest 5% and the largest 5% of the elements.

Answers within 10-5 of the actual answer will be considered accepted.

Example 1:

Input: arr = [1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3] Output: 2.00000 Explanation: After erasing the minimum and the maximum values of this array, all elements are equal to 2, so the mean is 2. Example 2:

Input: arr = [6,2,7,5,1,2,0,3,10,2,5,0,5,5,0,8,7,6,8,0] Output: 4.00000 Example 3:

Input: arr = [6,0,7,0,7,5,7,8,3,4,0,7,8,1,6,8,1,1,2,4,8,1,9,5,4,3,8,5,10,8,6,6,1,0,6,10,8,2,3,4] Output: 4.77778 Example 4:

Input: arr = [9,7,8,7,7,8,4,4,6,8,8,7,6,8,8,9,2,6,0,0,1,10,8,6,3,3,5,1,10,9,0,7,10,0,10,4,1,10,6,9,3,6,0,0,2,7,0,6,7,2,9,7,7,3,0,1,6,1,10,3] Output: 5.27778 Example 5:

Input: arr = [4,8,4,10,0,7,1,3,7,8,8,3,4,1,6,2,1,1,8,0,9,8,0,3,9,10,3,10,1,10,7,3,2,1,4,9,10,7,6,4,0,8,5,1,2,1,6,2,5,0,7,10,9,10,3,7,10,5,8,5,7,6,7,6,10,9,5,10,5,5,7,2,10,7,7,8,2,0,1,1] Output: 5.29167

Constraints:

20 <= arr.length <= 1000 arr.length is a multiple of 20. 0 <= arr[i] <= 105

public class Solution {
 public double TrimMean(int[] arr) {
 Array.Sort(arr); 
 int len = arr.Length;
 double sum = 0;
 for(int i= len/20 ; i<arr.Length-(len/20);i++){
 sum+=arr[i];
 }
 
 return sum/(len-(len/10));
 }
}

Time Complexity: O(nlogn)

Space Complexity: O(1)

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sumitc91

Published on 18 October 2020 · 1 min read · 165 words

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