If each observation of a raw data whose varia | vedclass

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Question

We know $Var ( ax + b )= a ^2 \cdot V$ ar $( x )$

Here $a = \lambda , b =0$

$	herefore Var ( \lambda x )= h ^2 \cdot Var ( x )= \lambda ^2 \sig

Vedclass · Accepted Answer

${\lambda ^2}{\sigma ^2}$

Vedclass · Answer

We know $Var ( ax + b )= a ^2 \cdot V$ ar $( x )$

Here $a = \lambda , b =0$

$	herefore Var ( \lambda x )= h ^2 \cdot Var ( x )= \lambda ^2 \sigma^2$

${x_i}$	$4$	$8$	$11$	$17$	$20$	$24$	$32$
${f_i}$	$3$	$5$	$9$	$5$	$4$	$3$	$1$

If each observation of a raw data whose variance is ${\sigma ^2}$, is multiplied by $\lambda$, then the variance of the new set is

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