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Question 13 Marks
There are two factories employing 100 and 80 men, respectively. If the arithmetic mean of their monthly salaries are Rs.575 and Rs.625, then find the arithmetic mean of the salaries of both the factories together.
Answer
Let $n_1$ be the no. of persons in the first factory and $\bar{X}_1$ be the mean of the first factory workers, and $n_2$ be the number of persons in the second factory and their mean be $\bar{X}_2$
$\begin{array}{l}
\because n_1=100 \text { and } \bar{X}_1=575 \text { and } n_2=80 \text { and } \bar{X}_2=625 \\
\therefore \text { Combined Mean }\left(\bar{X}_{1,2}\right)=\frac{n_1 \bar{X}_1+n_2 \bar{X}_2}{n_4+n_2} \\
\Rightarrow \bar{X}_{1,2}=\frac{575 \times 100+625 \times 80}{100+80}=\frac{57500+50000}{180} \\
=\frac{107500}{\frac{180}{X_{1,2}}=597.2} \\
\therefore 597.2
\end{array}$
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Question 23 Marks
Find out the weighted arithmetic mean from the following data.
BooksPrice per Book (X)Number Sold (W)
Statistic (S)2040
Physics (P)3025
Economics (E)1512
Commerce (C)2513
Chemistry (Ch)2510
Answer

For finding out weighted mean, each item of the series is multiplied by its weights. Here price per book is multiplied by Number of books sold. Number sold is the weight in this question. Then we have to find $\Sigma X W$ and divide it by $\Sigma W$


Calculation of Weighted Arithmetic Mean

BooksPrice per Book (X)Number Sold (W)XW
S2040800
P3025750
E1512180
C2513325
Ch2510250
$\Sigma W=100$$\Sigma X W=2305$

Now, $\bar{X}_w=\frac{\Sigma X W}{\Sigma W}=\frac{2305}{100}=23.05$
Hence, required weighted arithmetic mean=23.05

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Question 33 Marks
Can the CPI for urban non-manual employees represent the changes in the cost of living of the President of India?
Answer
The CPI for the urban non-manual employees cannot represent the changes in the cost of living of the President of India. This is because the consumption basket of the non-manual employees consists of different items than those of the consumption basket of the President of India. In fact, in India CPI for industrial workers is the most popular index. This is used by the government to regulate Dearness Allowance (D.A.) to compensate its employees against the price rise.
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