-1<x<+1
You make comparisons between their mean or median, their spread - as measured bu the inter-quartile range or standard deviation, their skewness, the underlying distributions.
It is not possible to determine the range since there is always the possibility that there are outliers. Also, there is no information about the skewness of the data. If the distribution is symmetric, there is a high probability (99.75%) that the values will lie within 3 standard deviations of the mean - that is between 40 and 160.
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
{3,4,4,4,4,5} or {3,3,3,5,5,5} or {3,3.1,3.2,4.8,4.9,5}. These are some examples of symmetric sets.
Geographic distributions refer to the patterns of where a species is found in a geographical area. It provides insight into the range, abundance, and habitat preferences of a species. Geographic distributions can be influenced by factors such as climate, habitat availability, and interactions with other species.
The range, median, mean, variance, standard deviation, absolute deviation, skewness, kurtosis, percentiles, quartiles, inter-quartile range - take your pick. It would have been simpler to ask which value IS in the data set!
You cannot "solve" ungrouped data since ungrouped data is not a question. You can calculate the mean or the variance, standard deviation or skewness, or a whole range of other measures for ungrouped data. But you have not specified what.
If the wide range is evenly spread between the very small and the very large (the distribution is symmetric) then there is not much to choose between the median and the mean. If not, the median will have some advantages as a measure of central tendency.
its approximately about 2 people;)
Approximately 4.5 to 12.5
J. L. Howland has written: 'Report on digital analysis of ballistics range data, Case IV' 'The analysis of aeroballistic range data by the method of differential corrections for symmetric rounds with constant roll rate'
It is a useful scheme to summarise data. It provides information on the central tendency (median) and a measure of spread (inter-quartile range). The total range is also indicated and outliers are separately identified. The location of the median within the IQR "box" provides an indication of the skewness of the data.