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The Mean & Variance of the marks obtaine...

The Mean & Variance of the marks obtained by the student in a test are 10 and 4 respectively. Later, themarks of of one of the students is increased from 8 to 12. If the new mean of the marks is 10.2, then theirnew variance is equal to :

A

3.92

B

3.96

C

4.04

D

4.08

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To solve the problem step by step, we will follow the given information and derive the new variance after the marks of one student are increased. ### Given: - Initial Mean (μ) = 10 - Initial Variance (σ²) = 4 - Marks of one student increased from 8 to 12 - New Mean (μ') = 10.2 ### Step 1: Determine the number of students (n) Using the formula for the mean: \[ \text{Mean} = \frac{\text{Sum of all marks}}{n} \] Let the sum of the marks of the other students be \( S \). Then: \[ \frac{S + 8}{n} = 10 \] This implies: \[ S + 8 = 10n \implies S = 10n - 8 \] ### Step 2: Calculate the initial variance The formula for variance is given by: \[ \text{Variance} = \frac{\sum (x_i^2)}{n} - \left(\frac{\sum x_i}{n}\right)^2 \] Given that variance is 4, we have: \[ 4 = \frac{\sum (x_i^2) + 8^2}{n} - 10^2 \] Substituting \( 8^2 = 64 \) and \( 10^2 = 100 \): \[ 4 = \frac{\sum (x_i^2) + 64}{n} - 100 \] Rearranging gives: \[ \frac{\sum (x_i^2) + 64}{n} = 104 \] \[ \sum (x_i^2) + 64 = 104n \implies \sum (x_i^2) = 104n - 64 \] ### Step 3: Calculate the new mean after the increase After increasing the student's marks from 8 to 12, the new sum of the marks becomes: \[ S + 12 = 10n - 8 + 12 = 10n + 4 \] The new mean is given by: \[ \frac{10n + 4}{n} = 10.2 \] Multiplying through by \( n \): \[ 10n + 4 = 10.2n \] Rearranging gives: \[ 0.2n = 4 \implies n = 20 \] ### Step 4: Calculate the new variance Now substituting \( n = 20 \) into the equation for \( \sum (x_i^2) \): \[ \sum (x_i^2) = 104(20) - 64 = 2080 - 64 = 2016 \] Now we calculate the new variance: \[ \text{New Variance} = \frac{\sum (x_i^2) + 12^2}{n} - \left(\frac{10.2n}{n}\right)^2 \] Substituting \( 12^2 = 144 \): \[ \text{New Variance} = \frac{2016 + 144}{20} - (10.2)^2 \] Calculating: \[ \text{New Variance} = \frac{2160}{20} - 104.04 = 108 - 104.04 = 3.96 \] ### Final Answer: The new variance is \( 3.96 \).
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