I'm not completely sure what you mean. But I can tell you how to find the mean, if that is what you are looking for. You must add up all your numbers (4+2+1) and then take you answer and divide it by the number of numbers you added together (7 divided by 3)
The quotient is your answer. Hope I was a help
Cluster refers to data whose values are close together according to some metric.
A cluster is where the majority of the data are plotted.
Data Table and Scenario Manager
a data culster is where on a line plot there is alot of data in one section that has a large amount of data.
interval data
The mean of the new data set is shifted from the mean of the original set, in the direction of the added cluster. We note that the same would be true if only a single new element were added.
Cluster
Cluster refers to data whose values are close together according to some metric.
The measure of variability tells you how close to the central value the data values lie: that is whether the cluster is tightly packed around the central value of spread out over a large range of values.
It is a positively skewed distribution.
A cluster is where the majority of the data are plotted.
Data Table and Scenario Manager
Raw data as in unmanipulated and otherwise not yet manipulated. If one forms values of standard deviation, average, max/min of original (raw) data, those values are not raw but post-analysis, manipulated, or condensed. Raw as in the raw measured data.
Raw data as in unmanipulated and otherwise not yet manipulated. If one forms values of standard deviation, average, max/min of original (raw) data, those values are not raw but post-analysis, manipulated, or condensed. Raw as in the raw measured data.
it gets thrown out because it is irrelivant
Sometimes results of a particular experiment do not match our hypothesis. Most of the time in such a case hypothesis is modified to agree to the experimental data. Another approach can be repeating the same experiment again and comparing the the values form the second trial to the first one.
They can cluster anywhere: it depends on what characteristic of what population is being measured.