The mean of a set of data is the sum of that data divided by the number of items of data.
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One reason I can think of why you might not be able to find the mean of numerical data would be if there were missing data points.
when there are extreme values in the data
To find the missing mean in a set of data, you first need to know the sum of all the values in the data set as well as the total number of values. Once you have this information, you can calculate the missing mean by dividing the sum of all the values by the total number of values. This will give you the average value of the data set, which is the missing mean.
Analyzing the mean, median, and range of your experimental data helps establish patters present in the data set. Analyzing the mean will define the quantitative average, analyzing the median will find the number that is center most, and analyzing the range will find the difference between the largest and smallest number in the data set. Good luck!
It is one of the key measures of a data set: it shows the value around which the observations are spread out.