Weighted Average Calculator Examples
1. Weighted Average Calculator Example
Imagine you have two subjects: Math and English. Math is worth 70% of your grade, and English is worth 30%. You scored 80 in Math and 90 in English. To find your overall average, you’d use this formula:
Weighted Average = (Math Grade × 0.70) + (English Grade × 0.30)
Plug in the numbers:
Weighted Average = (80 × 0.70) + (90 × 0.30)
Weighted Average = 56 + 27
Weighted Average = 83
So, your weighted average grade would be 83.
2. Weighted Average Calculator Example
You have three categories for a project: Presentation (30%), Content (50%), and Delivery (20%). You got scores of 90, 80, and 85 in these categories, respectively. To find your weighted average:
Weighted Average = (90 × 0.30) + (80 × 0.50) + (85 × 0.20)
Weighted Average = 27 + 40 + 17
Weighted Average = 84
So, your weighted average score for the project would be 84.
3. Weighted Average Calculator Example
In a sales team, performance is measured based on Sales Revenue (60%) and Customer Satisfaction (40%). Team Member A generates $100,000 in sales (Revenue) with a satisfaction score of 85%, while Team Member B generates $80,000 with a satisfaction score of 90%. To find their weighted average performance:
Weighted Average for A = (100,000 × 0.60) + (85 × 0.40)
Weighted Average for A = 60,000+34
Weighted Average for A = 60,034
Weighted Average for B = (80,000×0.60)+(90×0.40)
Weighted Average for B = 48,000+36
Weighted Average for B = 48,036
Thus, Team member A’s weighted average is 60,034, and Team member B’s weighted average is 48,036.
Weighted Average Calculator – Free Online Weighted Calculator
Weighted Average Calculator: A tool that calculates the average of a set of numbers, where each number is assigned a different level of importance or weight. “Weighted” means giving more importance or significance to certain things over others. This w3wiki free online calculator helps you determine a weighted average, which is a method of calculating an average where some values have a greater impact on the final average than others. This technique is often used in educational grading, stock market analysis, and survey results.
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