1.

If the variance of observations \[{{x}_{1}},\,{{x}_{2}},\,......{{x}_{n}}\] is \[{{\sigma }^{2}}\], then the variance of \[a{{x}_{1}},\,a{{x}_{2}}.......,\,a{{x}_{n}}\], a ¹ 0 is

A. \[{{\sigma }^{2}}\]
B. \[a\,{{\sigma }^{2}}\]
C. \[{{a}^{2}}{{\sigma }^{2}}\]
D. \[\frac{{{\sigma }^{2}}}{{{a}^{2}}}\]
Answer» D. \[\frac{{{\sigma }^{2}}}{{{a}^{2}}}\]


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