When we compute the mean of a frequency distribution, why do we refer to this as an estimated mean?

We call it an estimated mean because it represents the average of the data collected, and we assume that this average (estimated mean) represents the data collected. But this is not necessarily true since the estimated mean is not the same as all the different data collected. Most of the times, when we are working with statistics we do not know or are not even given all the data, we are just given the relevant ratios or indicators.

x=3

step-by-step explanation:

this is really simple i saw that there was only one term (5x) and thought if that was 15 what would i have to multiply everything else to get it there? well if 5x became 15 then x would have to be 3 so plug the 3 in the x for the other equations and you get 15 for the other ones. so there you go. : )

answer; descriptive statistics;