Weighted Average Examples in Statistics
Start with the recap, study the fully worked examples, then use the practice problems to check your understanding of Weighted Average.
This page combines explanation, solved examples, and follow-up practice so you can move from recognition to confident problem-solving in Statistics.
Concept Recap
A weighted average is an average in which different values contribute unequally based on their assigned weights, reflecting the relative importance or frequency of each value. Unlike a simple average where all values count equally, a weighted average gives more influence to values with larger weights.
Your final grade: exams count 60%, homework 40% โ not every assignment counts equally.
Read the full concept explanation โHow to Use These Examples
- Read the first worked example with the solution open so the structure is clear.
- Try the practice problems before revealing each solution.
- Use the related concepts and background knowledge badges if you feel stuck.
What to Focus On
Core idea: Weighted Average asks what single value best stands for the center of the data, then checks whether that value is fair for the situation.
Common stuck point: Students often know a procedure related to weighted average but skip the recognition step: Do I need one number that represents the center of the data, and have I checked whether extreme values change that choice? That leads to a calculation or graph that looks reasonable but answers a different question.
Sense of Study hint: Ask: Do I need one number that represents the center of the data, and have I checked whether extreme values change that choice?
Worked Examples
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Try these problems on your own first, then open the solution to compare your method.
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Background Knowledge
These ideas may be useful before you work through the harder examples.