The sum and sum of squares corresponding...

The sum and sum of squares corresponding to length x (in cm) and weight y (in gm) of 50 plant products are given below`sum_(i=1)^(50)x_i=212 ,sum_(i=1)^(50)xi2=902. 8 ,sum_(i=1)^(50)y_1=261 ,sum_(i=1)^(50)y i2=1457. 6`Which is more varyi

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The sum and sum of squares corresponding to length x ( in cm) and weight y ( in gm ) of 50 plant products are given below : sum_(i=1)^(50)x_(i)=212, sum_(i=1)^(50)x_(i)^(2)=902.8 , sum_(i=1)^(50)y_(i)=261, sum_(i=1)^(50)y_(i)^(2)=1457.6 If C.V._(x) and C.V._(y) are the coefficient of variation of length and weight respectively, then variability in weight is

greater than variability of length

less than variability of length

equal to variability of length

data inadequate.

sum_(i=1)^(n) sum_(i=1)^(n) i is equal to

`(n(n+1))/(2)`

`(n(n+1)^(2))/2`

`(n^(2)(n+1))/2`

none of these

The value of sum_(i=1)^(n) sum_(j=1)^(i) sum_(k=1)^(j) 1 is

`sumn`

`sumn^(2)`

`sumn^(3)`