How do you calculate the uncertainty of vitamin c in an unknown working solution without using the uncertainty eq?
and with the concentration
I don't know if this will help or not but I found this.
https://agris.fao.org/agris-search/search.do?recordID=KR2006014569
To calculate the uncertainty of vitamin C in an unknown working solution without using the uncertainty equation, you can use a method called standard deviation. This method estimates the spread or variability of a set of data, which can provide an indication of the uncertainty associated with the measurements.
To calculate the uncertainty of vitamin C using standard deviation, you'll need to perform multiple measurements of the concentration of vitamin C in the working solution. Let's say you have n measurements. Here's how you can proceed:
1. Take n measurements of the concentration of vitamin C in the working solution using the same experimental setup and procedure. These measurements can be performed using a suitable analytical technique, such as spectrophotometry.
2. Calculate the average (mean) concentration of vitamin C by summing up all the measurements and dividing by n.
3. For each measurement, subtract the average concentration from the individual measurement. This gives the deviation of each measurement from the mean.
4. Square each deviation obtained in step 3.
5. Sum up all the squared deviations obtained in step 4.
6. Divide the sum of squared deviations by (n-1) to calculate the variance.
7. Take the square root of the variance obtained in step 6 to calculate the standard deviation.
The standard deviation will give you an estimate of the uncertainty associated with the concentration measurements in the working solution. It represents the average amount by which individual measurements differ from the mean concentration.
It's important to note that this method assumes your measurements are normally distributed, and the uncertainty calculated using standard deviation provides an estimate of the random error associated with your measurements. Other sources of uncertainty, such as systematic errors, may need to be considered separately.