Hi Uva,
We need not calculate the SD on the GMAT.
For the GMAT, it's typically a good idea to use the informal definition of SD, which is . . .
The Standard Deviation is approximately equal to the average distance the elements are away from the mean
Disclaimer: This is just an approximation. The definition does not give the actual SD. However, for the purposes of the GMAT, the informal definition is adequate for 99% of questions.
Okay, let's use the informal definition to examine the two cases:
Case a:
Set S = {-1, 0, 0, 1}. Range = 2, and Mean (average) = 0
If the mean is 0, then:
-1 is 1 away from the mean
0 is 0 away from the mean
0 is 0 away from the mean
1 is 1 away from the mean
So, the SD is roughly the average of 1, 0, 0 and 1. So the SD of set S is about 0.5
Set T = {1, 1, 1, 1}. Range = 0, and Mean (average) = 1
If the mean is 1, then:
1 is 0 away from the mean
1 is 0 away from the mean
1 is 0 away from the mean
1 is 0 away from the mean
So, the SD is the average of 0, 0, 0 and 0. So the SD of set S is 0
In this case, the standard deviation of set S is greater than the standard deviation of set T
Case b:
Set S = {-100, 0, 0, 100}. Range = 200, and Mean (average) = 0
If the mean is 0, then:
-100 is 100 away from the mean
0 is 0 away from the mean
0 is 0 away from the mean
100 is 100 away from the mean
So, the SD is roughly the average of 100, 0, 0 and 100. So the SD of set S is about 50
Set T = {-99, -99, 100, 100}. Range = 199, and Mean (average) = 0.5
If the mean is 0.5, then:
-99 is 99.5 away from the mean
-99 is 99.5 away from the mean
100 is 99.5 away from the mean
100 is 99.5 away from the mean
So, the SD is roughly the average of 99.5, 99.5, 99.5 and 99.5. So the SD of set S is about 99.5
In this case, the standard deviation of set S is less than the standard deviation of set T
I hope that helps.
Cheers,
Brent
Brent Hanneson - Creator of GMATPrepNow.com
