The mean of a discrete frequency distribution `x_i//f_i ; i=1,\ 2,\ ddot,\ n` is given by (a) `(sumf_i x_i)/(sumf_i)` (b) `1/n\ sum_(i=1)^nf_i x_i` (c) `(sumi=1nf_i x_i)/(sumi=1n x_i)` (d) `(sumi=1nf_i x_i)/(sumi=1n i)`

If sum_(i=1)^(n)sin x_(i)=n then sum_(i=1)^(n)cot x_(i)=

If sum_(i=1)^(n)sin x_(i)=n then sum_(i=1)^(n)cot x_(i)=

The mean deviation for n observations x_1, x_2, ......... , x_n from their mean X is given by (a) sum_(i=1)^n(x_i- X ) (b) 1/nsum_(i=1)^n(x_i- X ) (c) sum_(i=1)^n(x_i- X )^2 (d) 1/nsum_(i=1)^n(x_i- X )^2

The mean deviation for n observations x_1, x_2, ......... , x_n from their mean X is given by (a) sum_(i=1)^n(x_i- X ) (b) 1/nsum_(i=1)^n|x_i- X | (c) sum_(i=1)^n(x_i- X )^2 (d) 1/nsum_(i=1)^n(x_i- X )^2

If the mean of a frequency distribution is 8.1 and sumf_ix_i =132 + 5 K, sumf_i = 20 then K =

If the mean of a frequency distribution is 8.1 and sumf_i x_i=132+5k ,\ \ sumf_i=20 , then k= (a) 3 (b) 4 (c) 5 (d) 6

If the mean of a frequency distribution is 8.1 and sumf_i x_i=132+5k ,\ \ sumf_i=20 , then k= (a) 3 (b) 4 (c) 5 (d) 6

If barx=1/n sum_(i=1)^n x_i then prove that sum_(i=1)^n (x_i-barx)=0

For a given frequency distribution, n = 20 and sumf_i x_i = 140, then barx = ..........

The mean deviation for n observations x_(1),x_(2)…….x_(n) from their median M is given by (i) sum_(i=1)^(n)(x_(i)-M) (ii) (1)/(n)sum_(i=1)^(n)|x_(i)-M| (iii) (1)/(n)sum_(i=1)^(n)(x_(i)-M)^(2) (iv) (1)/(n)sum_(i=1)^(n)(x_(i)-M)