When it comes to calculating statistical values on different-sized subsets of data in Excel, there are a few things you need to keep in mind. First and foremost, you need to make sure that your data is organized in a way that makes sense. This means having your data points sorted in ascending or descending order, depending on what you're trying to calculate. Once your data is sorted, you can then begin to calculate the different statistical values. For example, if you're trying to calculate the mean of your data set, you would simply add up all of the data points and then divide by the number of data points. The same goes for calculating the median and mode. However, when it comes to calculating the standard deviation, things get a bit more complicated.
The standard deviation is a measure of how spread out your data is. To calculate it, you first need to find the mean of your data set. Once you have the mean, you then need to take each individual data point and subtract it from the mean. These new values are called "deviations." You then need to square each deviation (which just means multiplying it by itself) and add up all of the squared deviations. Finally, you take this sum and divide by the number of data points - 1. This gives you the variance of your data set. To get the standard deviation, all you need to do is take the square root of the variance.
Keep in mind that these are just a few examples of statistical values that you can calculate on different-sized subsets of data in Excel. There are many other statistical values out there, such as percentiles and quartiles. However, the process for calculating these values is generally similar to what's been outlined above.