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Weighted Average Percentage Calculator

Weighted Average Formula:

\[ \text{Weighted Average} = \frac{\sum (\text{value} \times \text{weight})}{\sum \text{weights}} \]

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1. What is Weighted Average Percentage?

The weighted average percentage is a calculation that takes into account the varying degrees of importance of the numbers in a data set. It's commonly used when some values in the dataset contribute more significantly than others.

2. How Does the Calculator Work?

The calculator uses the weighted average formula:

\[ \text{Weighted Average} = \frac{\sum (\text{value} \times \text{weight})}{\sum \text{weights}} \]

Where:

Explanation: Each value is multiplied by its weight, these products are summed, and then divided by the sum of all weights.

3. Importance of Weighted Average

Details: Weighted averages are crucial in many fields including education (calculating GPA), finance (portfolio returns), and statistics (survey analysis) where different elements have different levels of importance.

4. Using the Calculator

Tips: Enter your values and corresponding weights as comma-separated lists. Both lists must have the same number of elements. Weights should be positive numbers.

5. Frequently Asked Questions (FAQ)

Q1: What's the difference between average and weighted average?
A: Regular average treats all values equally, while weighted average accounts for varying importance or relevance of each value.

Q2: Can weights be percentages?
A: Yes, weights can be any positive numbers. They can be percentages, but they don't need to add up to 100%.

Q3: What if my weights add up to zero?
A: The calculation is undefined if the sum of weights is zero. All weights must be positive numbers.

Q4: How is this different from a simple moving average?
A: A simple moving average gives equal weight to all values, while weighted average allows different weights for each value.

Q5: Where is weighted average commonly used?
A: Common applications include grade point averages (GPA), financial indices, customer satisfaction scores, and performance metrics.

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