I suspect that the answer is meant to be qualitative data but that is not a proper answer. Information about the qualitative aspect of data (eg what colour is you hair) is still a measurement. It may not be numerical measurement, but the question states "can't be measured", not "can't be measured numerically".
The sum of a set of data divided by the number of pieces of data is the average or mean.
Grouped means the grouping of relevant data after analysis. When raw data is analyzed in proper and meaningful way then its transformed into groups and these groups are known as grouped data.
The variance.
numbers
1
Yes, there can be two means in a set of data if the data is divided into two distinct groups or populations that have different characteristics. Each group would have its own mean, and the overall set of data could have a mean that is the average of the means of the two groups.
continuous data
Time dependent data
Storage is measured in a hierarchy of bytes.
They are groups of data.
That's the mean ('average') of the numbers in the dataset,divided by the number of pieces of data.
data when downloading
There are many different things that are measured and tested by the data collected in an experiment. Color changes are one thing that can be measured and tested for example.
The sum of a set of data divided by the number of pieces of data is the average or mean.
Quantitative data is collective data that can be measured by numbers and qualitative is data that is are words and cannot be divided by numbers.This is true. Here is a more precise answer:Quantitative data can be classified as continuous or numerical.Continuous data could for example: time, weight, age etc...Numerical would be zip codes of a given area, phone numbers in a telephone book etc...
The building monitoring systems in a company are measured at a colocation data centre. The benefit of this is to be effective and efficient for the company.
It can be qualitative data.