Given a weighted average for a set of data points (weight, score) and additional information such as the sum of all the weights in the dataset - could you help me to determine what the new weighted average when incorporating an additional data point?
2026-03-28 02:59:35.1774666775
additional points to weighted average
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For a set of scores that are represented as a tuple $(p,q)$ where $p$ represents the ... and $q$ represents the weight of the score, the weighted average/mean for the data-set is calculated using the following formula:
$$ \overline{p} = \frac{\sum_{i=1}^{n}(q_{i}\times p_{i})}{\sum_{i=1}^{n}(q_{i})} $$
this can be better expressed as
$$ \overline{p} = \frac{1}{\sum_{i=1}^{n}(q_{i})}\times \sum_{i=1}^{n}(q_{i}\times p_{i}) $$
When we introduce a new data-point $(p_{n+1},q_{n+1})$ we can calculate the new weighted average if we are provided with the following data:
Using this information the weighted average formula includes the new data point as follows:
$$ \overline{p'} = \frac{1}{\sum_{i=1}^{n}(q_{i}) + q_{n+1}}\times \Big[ \sum_{i=1}^{n}(q_{i}\times p_{i}) + (p_{n+1} \times q_{n+1}) \Big] $$
But we don't know each of the previous data-points to enable us to calculate the sum of the products $\sum_{i=1}^{n}(q_{i}\times p_{i}$) since we know from rearranging the weighted average formula that this term can be found as follows:
$$ \sum_{i=1}^{n}(q_{i}\times p_{i}) = \overline{p} \times \sum_{i=1}^{n}(q_{i}) $$
So the new weighted average $\overline{p`} $ can be calculated as:
$$ \overline{p'} = \frac{1}{\sum_{i=1}^{n}(q_{i}) + q_{n+1}}\times \Big[ \overline{p} \times \sum_{i=1}^{n}(q_{i}) + (p_{n+1} \times q_{n+1}) \Big] $$