Answer:
d. define
Explanation:
DMAIC is an acronym for Define, Measure, Analyze, Improve and Control is a data-driven improvement cycle used for improving processes and driving Six Sigma projects.
Important tools used in the define phase of the Define, Measure, Analyze, Improve, and Control (DMAIC) process include;
- A project charter.
- A description of customer requirements.
- Process maps.
- Voice of the Customer (VOC) data.
Answer:
- public class FindDuplicate{
-
- public static void main(String[] args) {
- Scanner input = new Scanner(System.in);
-
- int n = 5;
- int arr[] = new int[n];
-
- for(int i=0; i < arr.length; i++){
- int inputNum = input.nextInt();
- if(inputNum >=1 && inputNum <=n) {
- arr[i] = inputNum;
- }
- }
-
- for(int j =0; j < arr.length; j++){
- for(int k = 0; k < arr.length; k++){
- if(j == k){
- continue;
- }else{
- if(arr[j] == arr[k]){
- System.out.println("True");
- return;
- }
- }
- }
- }
- System.out.println("False");
- }
- }
Explanation:
Firstly, create a Scanner object to get user input (Line 4).
Next, create an array with n-size (Line 7) and then create a for-loop to get user repeatedly enter an integer and assign the input value to the array (Line 9 - 14).
Next, create a double layer for-loop to check the each element in the array against the other elements to see if there is any duplication detected and display "True" (Line 21 - 22). If duplication is found the program will display True and terminate the whole program using return (Line 23). The condition set in Line 18 is to ensure the comparison is not between the same element.
If all the elements in the array are unique the if block (Line 21 - 23) won't run and it will proceed to Line 28 to display message "False".
Answer:
Cluster Column Charts.
Explanation:
Clustered column chart:-It displays multiple data series in separate vertical columns. Each series have the same axis labels.Clustered vertical columns thus allow direct comparison of multiple data series.When having three data series you can compare their heights also.So we conclude the answer is Cluster Column Charts.
The answer is visual hierarchy :)
