8; you subtract the largest number (in this case 9) with the smallest number (1) and
9-1= 8
Subtract the smallest number in the data set from the largest number in the data set. eg, the range of {3, 1, 5, 6, 6 ,8, 10, 5, 8} is 10 - 1 = 9
If the set of numbers is sorted: 1 1 2 3 4 5 5, then you can see that 1 and 5 both lie at the outer limits of the range of data.
the range for 5 2 1 and 3 is 4.
The range is 4.
find the range 3 -9 7 -1 5 -4 2
To find the range of a data set, you first need to order the data from smallest to largest. In this case, the data is already ordered in such a way. The next step is to take the least (-4) and greatest (1) numbers, and subtract the least from the greatest. In this case, we'd do 1-(-4) which equals 5. Thus the range of the data set in the question is 5.
The range is 6. (6 - 0 = 6)
Subtract the smallest number in the data set from the largest number in the data set. eg, the range of {3, 1, 5, 6, 6 ,8, 10, 5, 8} is 10 - 1 = 9
The number 5.
8
The range is 17: 20 - 3 = 17
seven
Yes, but the two are measures of very different things. The median is a measure of central tendency whereas the range is a measure of spread. Nevertheless, the set 1, 2, 3, 4, 4 has a range of 3 and a median of 3.
The Inter-quartile range is the range of the middle half of the data. It is the difference between the upper and lower quartile.Example: 35,80,100 110,120,120,170,180.The Inter-quartile range would be 145-90 or 55To find the interquartile range, you:1) Arrange the data in numerical order.2) Then find the median of the data sets.3) Find the median of the top half and bottom half. (of the set of numbers)4) The groups you now have are "quartiles"5) Find the interquartile range. (subtract the smaller range from the range)
The meaning to range is minusing the largest number by the smallest number. eg (1 1 1 2 2 3 3 3 4 5 5 6 6 7 7 8 9 9) 9-1 =8
The range of database application are given below: 1- Personal Database 2- Workgroup Database 3- Department Database 4- Enterprise Database
I think you mean ordinal data. Similar to the golf tournament, you need to determine where to "cut" (from the ordinal data) so as to divide the data into different categories (to the nominal data). For example, if the ordinal data range from 1 to 6 (where 1 = the best) and the cut is 3, then you convert all the numbers from 1 to 3 to "1" (which represents "good") and the all numbers from 4 to 6 to "2" (which represents "bad"). In other words, 1, 2, and 3 from the original ordinal data set are converted to "1" (ordinal data); whereas 4, 5, and 6 from the original date set now become "2" (ordinal data). Eddie T.C. Lam