https://file.aiquickdraw.com/mathbot/file/1728538722383m3wz9pq7.jpg

To determine the height of the binary tree shown in the image:

- **Height of a binary tree** is defined as the number of edges on the longest path from the root node (A) to a leaf node (nodes without children).

Looking at the tree:
- The root node is \( A \).
- The longest path from \( A \) to a leaf can be traced through nodes \( A \to D \to H \to L \), which has 3 edges.
  
Thus, the height of the tree is **3**.

Would you like more details on how this is calculated or any further questions?

Here are 5 related questions to expand on this topic:
1. What is the depth of node \( J \)?
2. What is the difference between the depth and height of a node?
3. How do you calculate the total number of nodes in a binary tree?
4. Can a binary tree be perfectly balanced? What conditions must be met?
5. What is the time complexity of searching an element in a binary search tree?

**Tip:** The depth of a node is the number of edges from the root to that node, while the height is the number of edges from the node to the deepest leaf.

Consider the following Binary Tree. What is the height of the tree?

Learn how to find the height of a binary tree by counting the number of edges along the longest path from the root node to a leaf node. This problem is suitable for students studying binary trees and graph theory.

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