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KarishmaB Bunuel In this question, what's the trick where you can just look at the set and figure out their relative standard deviation? Calculating the mean can be lengthy. What's the optimal technique you'd recommend to use in such types of questions where the data sets are very similar?­
­Arrange the following from largest to smallest SD

a = {50, 60, 70, 75, 80, 90, 100}
b = {50, 60, 60, 75, 90, 90, 100}
c = {50, 50, 60, 75, 90, 100, 100}


A. c > a > b
B. a > b > c
C. b > c > a
D. a > c > b
E. None of the above­

The standard deviation of a list shows how much variation there is from the mean, how widespread a given set is. So, a low standard deviation indicates that the data points tend to be very close to the mean, whereas a high standard deviation indicates that the data are spread out over a large range of values.

All three lists given are symmetric around their mean of 75:

a = {50, 60, 70, 75, 80, 90, 100}
b = {50, 60, 60, 75, 90, 90, 100}
c = {50, 50, 60, 75, 90, 100, 100}


However, the values 60 and 90 in list b are further from the mean of 75 than 70 and 80 in list a. Therefore, the standard deviation of a is less than that of b.

Similarly, the values 50 and 100 in list c are further from the mean of 75 than 60 and 90 in list b. Therefore, the standard deviation of b is less than that of c.

Hence, we have a < b < c.

Asnwer: E.
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siddhantvarma
KarishmaB Bunuel In this question, what's the trick where you can just look at the set and figure out their relative standard deviation? Calculating the mean can be lengthy. What's the optimal technique you'd recommend to use in such types of questions where the data sets are very similar?­
­Since Bunuel has already shared the solution, I won't repeat it. Further, you can check out this video for a discussion on SD: https://youtu.be/0E6FQMzQVj0
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