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If the mean of the distribution is 2.6, ...

If the mean of the distribution is 2.6, then the value of y is
`{:("Variate x",1,2,3,4,5),("Frequency f of x",4,5,y,1,2):}`

A

24

B

13

C

8

D

3

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AI Generated Solution

The correct Answer is:
To find the value of \( y \) in the given distribution, we will use the formula for the mean of a frequency distribution. The mean \( \bar{x} \) is given by: \[ \bar{x} = \frac{\sum (f \cdot x)}{\sum f} \] Where: - \( f \) is the frequency of each variate \( x \). - \( x \) is the variate. ### Step 1: Identify the given values From the question, we have: - Variates \( x = 1, 2, 3, 4, 5 \) - Frequencies \( f = 4, 5, y, 1, 2 \) - Mean \( \bar{x} = 2.6 \) ### Step 2: Calculate \( \sum f \) The total frequency \( \sum f \) is calculated as follows: \[ \sum f = 4 + 5 + y + 1 + 2 = 12 + y \] ### Step 3: Calculate \( \sum (f \cdot x) \) Next, we calculate \( \sum (f \cdot x) \): \[ \sum (f \cdot x) = (4 \cdot 1) + (5 \cdot 2) + (y \cdot 3) + (1 \cdot 4) + (2 \cdot 5) \] Calculating each term: - \( 4 \cdot 1 = 4 \) - \( 5 \cdot 2 = 10 \) - \( y \cdot 3 = 3y \) - \( 1 \cdot 4 = 4 \) - \( 2 \cdot 5 = 10 \) Now, summing these values gives: \[ \sum (f \cdot x) = 4 + 10 + 3y + 4 + 10 = 28 + 3y \] ### Step 4: Set up the mean equation Using the mean formula, we set up the equation: \[ 2.6 = \frac{28 + 3y}{12 + y} \] ### Step 5: Cross-multiply to solve for \( y \) Cross-multiplying gives: \[ 2.6(12 + y) = 28 + 3y \] Expanding the left side: \[ 31.2 + 2.6y = 28 + 3y \] ### Step 6: Rearrange the equation Rearranging the equation to isolate \( y \): \[ 31.2 - 28 = 3y - 2.6y \] This simplifies to: \[ 3.2 = 0.4y \] ### Step 7: Solve for \( y \) Now, divide both sides by 0.4: \[ y = \frac{3.2}{0.4} = 8 \] ### Final Answer Thus, the value of \( y \) is: \[ \boxed{8} \]

To find the value of \( y \) in the given distribution, we will use the formula for the mean of a frequency distribution. The mean \( \bar{x} \) is given by: \[ \bar{x} = \frac{\sum (f \cdot x)}{\sum f} \] Where: - \( f \) is the frequency of each variate \( x \). ...
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