Which sorting algorithm has the best average time complexity?

Which sorting algorithm has the best average time complexity?

Step 1: Understand what sorting algorithms are. They are methods used to arrange data in a specific order, like from smallest to largest.
Step 2: Learn about time complexity. It measures how the time to complete a task grows as the size of the input data increases.
Step 3: Know that 'O(n log n)' is a way to express time complexity. It means that as the number of items (n) increases, the time taken grows in a specific way.
Step 4: Compare different sorting algorithms. Some common ones are Bubble Sort, Merge Sort, and Quick Sort.
Step 5: Find out the average time complexities of these algorithms. Quick Sort has an average time complexity of O(n log n), while others like Bubble Sort have O(n^2).
Step 6: Conclude that Quick Sort is generally the most efficient for average cases because it has the best average time complexity of O(n log n).

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