Update pages/price-feeds/how-pyth-works/price-aggregation.mdx

Co-authored-by: Connor Prussin <[email protected]>

Author: aditya520

pages/price-feeds/how-pyth-works/price-aggregation.mdx

@@ -28,7 +28,7 @@ The second step computes the distance from the aggregate price to the 25th and 7
 
 This process acts like a hybrid between a mean and a median, giving confident publishers more influence, while still capping the maximum influence of any single publisher.
 The algorithm has an interpretation as computing the minimum of an objective function that penalizes the aggregate price from deviating too far from the publishers' prices.
-This interpretation allows proving properties of the algorithm's behavior: for example, the aggregate price will always lie between the 25th and 75th percentiles of the publishers' prices.
+This interpretation allows properties of the algorithm's behavior to be proved: for example, the aggregate price will always lie between the 25th and 75th percentiles of the publishers' prices.
 
 **Scenarios**