Which One of the Following Code Snippets Accepts the Integer

question 58

Multiple Choice

Which one of the following code snippets accepts the integer input in an array list named num1 and stores the even integers of num1 in another array list named evennum?

• A) ArrayList<Integer> num1 = new ArrayList<Integer>();
• ArrayList<Integer> evennum = new ArrayList<Integer>();
• Scanner in = new Scanner(System.in);
• Int data;
• For (int i = 0; i < 10; i++)
• {
• Data = in.nextInt();
• Num1.add(data);
• If (num1.get(i) % 2 == 0)
• {
• Evennum.add(num1.get(i));
• }
• }
• B) ArrayList<Integer> num1 = new ArrayList<Integer>();
• ArrayList<Integer> evennum = new ArrayList<Integer>();
• Scanner in = new Scanner(System.in);
• Int data;
• For (int i = 0; i < 10; i++)
• {
• Data = in.nextInt();
• Num1.add(data);
• If (num1.get(i) % 2 != 0)
• {
• Evennum.add(num1.get(i));
• }
• }
• C) ArrayList<Integer> num1 = new ArrayList<Integer>();
• ArrayList<Integer> evennum = new ArrayList<Integer>();
• Scanner in = new Scanner(System.in);
• Int data;
• For int i = 0; i < 10; i++)
• {
• Data = in.nextInt();
• Num1.add(data);
• If (num1.get(i) % 2 != 0)
• {
• Evennum[i] = num1[i];
• }
• }
• D) ArrayList<Integer> num1 = new ArrayList<Integer>();
• ArrayList<Integer> evennum = new ArrayList<Integer>();
• Scanner in = new Scanner(System.in);
• Int data;
• For (int i = 0; i < 10; i++)
• {
• Data = in.nextInt();
• Num1.add(data);
• If (num1.get(i) % 2 == 0)
• {
• Evennum[i] = num1[i];
• }
• }

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Definitions:

Hindsight Bias

The tendency to believe, after learning an outcome, that one would have foreseen it, often referred to as the "I-knew-it-all-along" phenomenon.

Availability

The ease with which a particular piece of information can be recalled from memory, often influenced by recent exposure or emotional impact.

Deductive Reasoning

A logical process where conclusions are drawn from a set of premises, starting with a general statement followed by specific instances.

Probabilistic Conclusions

Conclusions or inferences that are based on probabilities rather than certainties, often used in the context of decision-making under uncertainty.