Introduction
Average of Levels means:
- calculating average value
- for every tree level
Goal:
- process one level at a time
- compute average of nodes
Example:
3/ \
9 20
/ \
15 7
Output:
3
14.5
11
Explanation:
Level 1:3
Average:
3
Level 2:
9 20
Average:
14.5
Level 3:
15 7
Average:
11
This problem is one of the most important applications of
BFS TraversalConstraints
1 <= Number of Nodes <= 10^5Approach : Queue Based BFS Solution
Explanations:
Explanation:
The idea is:
- traverse tree level by level
- calculate sum for every level
- divide by number of nodes
Steps:
- Push root into queue.
- Process one level.
- Calculate level sum.
- Count level nodes.
- Compute average.
- Repeat for all levels.
This approach:
- uses queue
- follows BFS traversal
- processes levels independently
Dry Run
Level 1:3
Sum:
3
Average:
3
Level 2:
9 20
Sum:
29
Average:
14.5
Level 3:
15 7
Sum:
22
Average:
11
Practice :
Complexity Analysis :
Time Complexity:- O(n)
Explanation :
Every tree node is visited once.
Space Complexity:- O(n)
Explanation : Queue stores tree nodes level wise.
Why This Problem is Important
This problem builds the foundation for:
- BFS traversal
- Queue processing
- Level-wise traversal
- Tree aggregation problems
- Binary tree processing
Real-World Applications
Average of levels concepts are used in:
- Analytics systems
- Hierarchical data processing
- BFS simulations
- Monitoring systems
- Statistical tree analysis
Common Beginner Mistakes
- Incorrect level sum calculation
- Forgetting level separation
- Wrong queue handling
- Division errors
- Queue underflow issues
Interview Tip
Interviewers often expect:
- BFS understanding
- queue explanation
- level processing logic
- aggregation clarity
Always explain:
- queue operations
- level-by-level traversal
- average calculation flow
Related Questions
- Level Order Traversal
- Zigzag Traversal
- Right Side View
- DFS Traversal
- Binary Tree Height
Final Takeaway
The Average of Levels problem is one of the most important beginner BFS tree problems.
It teaches:
- BFS traversal
- queue processing
- level aggregation
- binary tree exploration
Understanding this problem builds a strong foundation for:
- advanced tree problems
- graph traversal
- interview-level algorithms.