Question -7

If i = 1 18 ( x i 8 ) = 9 \displaystyle \sum_{i=1}^{18} (x_i-8)=9 and j = 1 18 ( x j 8 ) 2 = 45 \displaystyle \sum_{j=1}^{18} (x_j-8)^2=45 , then the standard deviation of x 1 , x 2 , x 3 , . . . , x 18 x_1,x_2,x_3,...,x_{18} is:


Looking for Top Rank in JEE? Alright, then go for this set : Expected JEE-Mains-2015-B .
3 2 \frac{3}{2} 9 4 \frac{9}{4} None of the given values. 45 8 \frac{45}{8}

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3 solutions

Pranjal Jain
Mar 1, 2015

Hint:

Standard Deviation is independent of origin.

@Sandeep Bhardwaj Overrated? Btw nice set for JEE Mains. Looking for an Advanced also!

Pranjal Jain - 6 years, 3 months ago

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Yeah, I will create a set for JEE-Advanced too, but it will take some time. @Pranjal Jain

Sandeep Bhardwaj - 6 years, 3 months ago

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That's fine! I am busy with boards.

Pranjal Jain - 6 years, 3 months ago

eagerly waiting for the advanced set!!! :D

A Former Brilliant Member - 6 years, 3 months ago

@Sandeep Bhardwaj you are doing a great job by providing such problem sets!

Bhargav Upadhyay - 6 years, 3 months ago

so whats the reference of this question with ISIS!!??? brilliant wants to know!! :P :D

A Former Brilliant Member - 6 years, 3 months ago

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Lololol, that was a bug which made 'is' a ISIS.

Pranjal Jain - 6 years, 3 months ago
Mas Mus
Mar 16, 2015

For simplicity, let y i = ( x i 8 ) y_i=(x_i-8) ,

so, we have i = 1 18 y i = 9 \displaystyle \sum_{i=1}^{18} y_i=9 and j = 1 18 y j 2 = 45 \displaystyle \sum_{j=1}^{18} y_j^2=45 ,

Now,

S 2 = 1 18 [ i = 1 18 ( y i ) 2 ( i = 1 18 y i ) 2 18 ] = 1 18 [ 45 ( 9 ) 2 18 ] = 81 36 = 9 4 \begin{aligned}S^2 & =\frac{1}{18}[\displaystyle \sum_{i=1}^{18} (y_i)^2-\frac{(\displaystyle \sum_{i=1}^{18} y_i)^2}{18}]\\ &= \frac{1}{18}[45 -\frac{(9)^2}{18}]=\frac{81}{36}=\frac{9}{4}\end{aligned}

S = 3 2 S=\boxed{\frac{3}{2}} .

silly mistake(ofcourse by me): variance instead of std deviations

prajwal kavad - 6 years, 2 months ago
Prakhar Gupta
Mar 12, 2015

According to question i = 1 18 x i 144 = 9 \sum_{i=1}^{18}x_{i} -144=9 i = 1 18 x i = 153 \sum_{i=1}^{18}x_{i} = 153 Also i = 1 18 x i 2 18 i = 1 18 x i + 1152 = 45 \sum_{i=1}^{18}x_{i}^{2} -18\sum_{i=1}^{18}x_{i} + 1152 = 45 i = 1 18 x i 2 = 1341 \sum_{i=1}^{18}x_{i}^{2} = 1341 We know that S D = i = 1 18 x i 2 18 ( i = 1 18 x i ) 2 1 8 2 SD = \sqrt{\dfrac{\sum_{i=1}^{18}x_{i}^{2} }{18} - \dfrac{(\sum_{i=1}^{18}x_{i})^{2}}{18^{2}}} S D = 1.5 SD = 1.5

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