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$

${x_i}$	$60$	$61$	$62$	$63$	$64$	$65$	$66$	$67$	$68$
${f_i}$	$2$	$1$	$12$	$29$	$25$	$12$	$10$	$4$	$5$

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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