Weighted Average Formula:
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A weighted average is an average where some data points contribute more than others. Unlike a simple average where all values are treated equally, weighted averages assign different weights to different values based on their importance or relevance.
The calculator uses the weighted average formula:
Where:
Explanation: Each value is multiplied by its corresponding weight, these products are summed, and then divided by the sum of all weights.
Details: Weighted averages are crucial in many fields including education (GPA calculation), finance (portfolio returns), statistics, and research where different data points have different levels of importance.
Tips: Enter values and corresponding weights as comma-separated lists. Both lists must have the same number of elements. Weights should be positive numbers, and the sum of weights cannot be zero.
Q1: What's the difference between weighted average and simple average?
A: Simple average treats all values equally, while weighted average gives more importance to some values based on their assigned weights.
Q2: Can weights be negative?
A: While mathematically possible, negative weights are rarely used in practical applications as they can produce counterintuitive results.
Q3: What if the sum of weights equals zero?
A: The calculation becomes undefined (division by zero), which is mathematically invalid. Weights should be chosen so their sum is positive.
Q4: How are weights typically determined?
A: Weights are usually based on importance, frequency, reliability, or relevance of each data point in the specific context.
Q5: Can I use percentages as weights?
A: Yes, percentages work well as weights. If weights sum to 100%, the calculation simplifies as the denominator becomes 1.