Home
Class 12
MATHS
For a frequency distribution standard de...

For a frequency distribution standard deviation is computed by applying the formula\ `sigma=sqrt((sumfd^2)/(sumf)-((sumfd^)/(sumf))^2)` (b) `sigma=sqrt(((sumfd^2)/(sumf))-(sumfd^2^)/(sumf))` (c) `sigma=sqrt((sumfd^2)/(sumf)-(sumfd^^)/(sumf))` (d) `sqrt(((sumfd^)/(sumf))^2-(sumfd^2^)/(sumf))`

A

`sigma=(Sigmaf(x-barx))/(Sigmaf)`

B

`sigma=sqrt(Sigmaf(x -barx)^2)/(Sigmaf)`

C

`sigma=sqrt((Sigmaf(x-barx)^2)/(Sigmaf))`

D

`sigma=sqrt((Sigma(x-barx))/(Sigmaf))`

Text Solution

Verified by Experts

The correct Answer is:
C
Promotional Banner

Similar Questions

Explore conceptually related problems

For a frequency distribution standard deviation is computed by applying the formula (a) sigma=sqrt((sumfd^2)/(sumf)-((sumfd)/(sumf))^2) (b) sigma=sqrt(((sumfd^2)/(sumf))-(sumfd^2)/(sumf)) (c) sigma=sqrt((sumfd^2)/(sumf)-(sumfd)/(sumf)) (d) sqrt(((sumfd)/(sumf))^2-(sumfd^2)/(sumf))

For a frequency distribution standard deviation is computed by applying the formula (a) sigma=sqrt((sumfd^2)/(sumf)-((sumfd)/(sumf))^2) (b) sigma=sqrt(((sumfd)/(sumf))^2-(sumfd^2)/(sumf)) (c) sigma=sqrt((sumfd^2)/(sumf)-(sumfd)/(sumf)) (d) sigma=sqrt(((sumfd)/(sumf))^2-(sumfd^2)/(sumf))

For a frequency distribution mean deviation from mean in computed by: (a) MdotDdot = (sumf)/(sumf|d|) (b) MdotDdot=(sumd)/(sumf) (c) MdotDdot=(sumfd)/(sumf) (d) MdotDdot=(sumf|d|)/(sumf)

For a frequency distribution mean deviation from mean in computed by (a) MdotDdot=(sumf)/(sumf|d|) (b) MdotDdot=(sumd)/(sumf) (c) MdotDdot=(sumfd)/(sumf) (d) MdotDdot=(sumf|d|)/(sumf)

Show that the two formulae for the standard deviation of ungrouped data: sigma=sqrt(1/nsum(x_i- barX )^2) a n d\ sigma^(prime)=sqrt(1/nsumx_i^2- barX ^2) are equivalent where barX =1/nsumx_i .

The standard deviation of first 11 nutural numbers is (i) 2 (ii) 2sqrt2 (iii) 3 (iv) sqrt10

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

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)

Compute the following: sqrt(-25)+3sqrt(-4)+2sqrt(-9)

If standard deviation of 1,2,3,4,….,10 is sigma then standard deviation of 11, 12, …20 is