Hi All,
We’re told that a teacher adjusts each of the student’s test scores according to the formula Y = (0.8)(X) + 20 where X is the ORIGINAL score and Y is the ADJUSTED score. We’re told that the ORIGINAL Standard Deviation of the scores was 20. We’re asked for the Standard Deviation of the new (adjusted) scores.
While this question certainly looks complicated, it’s actually a great ‘concept question’, meaning that you do not need to do much math to answer it if you recognize the concepts involved. It’s also worth noting that the GMAT will NEVER actually require that you calculate the S.D. of a group of numbers, but you do have to understand that basic concepts of S.D. (re: the ‘closer’ together a group of numbers is, the smaller the S.D; the more ‘spread out’ a group of numbers is, the larger the S.D.).
We can break all of this information down into pieces to define how the ‘parts’ of the formula impact the S.D. of the class scores. As an example, if the original scores were 10, 20 and 30, then adding 20 to each of those values would have NO impact on the S.D. (since the numbers would then be 30, 40 and 50 – and the ‘spread’ of the numbers would NOT have changed). However, by first multiplying each score by 0.8, the group of numbers gets CLOSER together (the three numbers would then be 8, 16 and 24; notice how the range is now 16 instead of 20 and differences between the consecutive terms is now 8 instead of 10). This ultimately lowers the S.D., so we’re looking for an answer that’s LESS than 20… but not that much less than 20, since multiplying by 0.8 in this context isn’t that much different from multiplying by 1. Based on how the answers are written, there’s only one answer that makes sense…
Final Answer:
GMAT Assassins aren’t born, they’re made,
Rich