Calculate Mean and Standard Deviation for Low Concentration Cu-EDTA Samples

How can we calculate the mean and standard deviation for low concentration Cu-EDTA samples?

Given data: \(98.2, 105.4, 102.7, 99.8, 101.5, 100.3, 97.6, 103.2, 99.1,\) and \(100.9\) counts.

Calculation of Mean and Standard Deviation

To calculate the mean (average) for the low concentration Cu-EDTA samples, we need to add all the numbers and then divide by the quantity of numbers. Similarly, the standard deviation is found by subtracting the mean from each number, squaring the result, averaging these squares, and taking the square root.

The mean for the low concentration Cu-EDTA samples will be approximately \(100.97\). To calculate the standard deviation:

1. Calculate the squared differences from the mean for each value.
2. Find the average of these squared differences.
3. Calculate the square root of the average of squared differences to get the standard deviation.

By following these steps, you can determine both the mean and standard deviation for the low concentration Cu-EDTA samples accurately.