Question 13 Marks
Mean and standard deviation of 100 items are 50 and 4, respectively. Find the sum of all the item and the sum of the squares of the items.
Answer
View full question & answer→Given that $\bar{\text{x}}=50,\text{ n}=100$ and $\text{SD}(\sigma)=4$
$\bar{\text{x}}=\frac{\sum\text{x}_\text{i}}{\text{N}}$
$\Rightarrow50=\frac{\sum\text{x}_\text{i}}{100}$
$\Rightarrow{\sum\text{x}_\text{i}}=5000$
and variance $\sigma^2=\frac{\sum\text{f}_\text{i}\text{x}_\text{i}^2}{\text{N}}-\Big(\frac{\sum\text{f}_\text{i}\text{x}_\text{i}}{\text{N}}\Big)^2$
$(4)^2=\frac{\sum\text{f}_\text{i}\text{x}_\text{i}^2}{100}=-(50)^2$
$\Rightarrow16=\frac{\sum\text{f}_\text{i}\text{x}_\text{i}^2}{100}-2500$
$\therefore\ \sum\text{f}_\text{i}\text{x}_\text{i}^2=(2500+16)\times100$
$\Rightarrow\sum\text{f}_\text{i}\text{x}_\text{i}^2=2516\times100=251600$
Hence, the required sum are 5000 and 251600
$\bar{\text{x}}=\frac{\sum\text{x}_\text{i}}{\text{N}}$
$\Rightarrow50=\frac{\sum\text{x}_\text{i}}{100}$
$\Rightarrow{\sum\text{x}_\text{i}}=5000$
and variance $\sigma^2=\frac{\sum\text{f}_\text{i}\text{x}_\text{i}^2}{\text{N}}-\Big(\frac{\sum\text{f}_\text{i}\text{x}_\text{i}}{\text{N}}\Big)^2$
$(4)^2=\frac{\sum\text{f}_\text{i}\text{x}_\text{i}^2}{100}=-(50)^2$
$\Rightarrow16=\frac{\sum\text{f}_\text{i}\text{x}_\text{i}^2}{100}-2500$
$\therefore\ \sum\text{f}_\text{i}\text{x}_\text{i}^2=(2500+16)\times100$
$\Rightarrow\sum\text{f}_\text{i}\text{x}_\text{i}^2=2516\times100=251600$
Hence, the required sum are 5000 and 251600