Weighted Average Formula:
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Weighted values represent an average where some data points contribute more than others to the final result. This method accounts for the relative importance or frequency of different values in a dataset.
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 essential in statistics, finance, education (GPA calculation), research, and any situation where different data points have varying levels of importance or reliability.
Tips: Enter values and weights as comma-separated lists. Ensure both lists have the same number of elements. Weights should be positive numbers representing the relative importance of each value.
Q1: What's the difference between weighted and simple average?
A: Simple average treats all values equally, while weighted average assigns different importance levels to values based on their weights.
Q2: Can weights be negative?
A: Typically no, weights should be positive numbers. Negative weights would invert the relationship and could produce misleading results.
Q3: What if the sum of weights equals zero?
A: The calculation becomes undefined since division by zero is mathematically impossible. Ensure weights sum to a positive value.
Q4: How are weighted averages used in real life?
A: Common applications include GPA calculation, stock market indices, customer satisfaction scores, and academic grading systems.
Q5: What's the unit of the weighted value?
A: The weighted value has the same units as the input values, since weights are dimensionless proportions.