No.
For example, consider a group of people whose height ranges from 1.5 metres to 2.0 metres. The range for this data set is 2.0-1.5 = 0.5 metres but there is no one in the group whose height is 0.5 m.
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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!
The data set whose inter-quartile range is the largest.
The range = the difference between the highest and the lowest values in the data set. For example if I had a data set like this: 10, 20, 30, 40, 50 50 is the highest number and 10 is the lowest number. 50-10= 40. 40= the range of the above data set.
50
Range subtracts the lowest value from the value in your data set. If you have an outlier, meaning a number either obviously outside the data, your range will be incorrect because one of the values will not represent the average pattern of the data. For example: if your data values include 1,2,3,4,and 17, 17 would be the outlier. The range would be 16 which is not truly representative of the rest of the data.