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Inorder traversal is a depth-first traversal technique used for binary trees in which we visit each node in the following order: 1. Visit the left subtree 2. Visit the root node 3. Visit the right subtree We can use recursion to implement this traversal order in our pseudocode.

Here's the pseudocode for inorder traversal of a binary tree: ``` Function inorder_traversal(node): if node is not null: inorder_traversal(node.left) # Traverse the left subtree print(node.value) # Visit the root node inorder_traversal(node.right) # Traverse the right subtree ```

Let's consider a sample binary tree and traverse it using the pseudocode provided in Step 2, inorder_traversal function. Example tree: ``` 5 / \ 3 7 / \ / \ 2 4 6 8 ``` Inorder Traversal Steps: 1. starts at node 5, then moves to the left subtree. 2. reaches node 3, moves to its left subtree. 3. reaches node 2, moves to its left subtree (null). 4. since left subtree is null, it prints node 2. 5. moves to the right subtree of 2 (null) 6. back to node 3, prints its value (3). 7. moves to the right subtree (node 4). 8. moves to the left subtree of 4 (null). 9. prints node 4 and then moves to its right subtree (null). 10. back up to node 5, prints its value (5). 11. moves to the right subtree, reaches node 7, and continues with the same logic. Inorder Traversal Output: 2, 3, 4, 5, 6, 7, 8