Hi, I have this question that is bothering me. If I have a large set of data, each with its unique error uncertainty. How do I get the average error uncertainty from all the data points? Do I simply use the equation below:
(∆ Z) ² = (∆A)² + (∆B)²
And divide the error obtained from this by the total number of errors combined?