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If the variance of first n natural numbe...

If the variance of first n natural numbers is 2 and the variance of first m odd natural numbers is 40, then `m +n =`

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To solve the problem, we need to find the values of \( n \) and \( m \) based on the given variances of the first \( n \) natural numbers and the first \( m \) odd natural numbers. ### Step 1: Variance of the first \( n \) natural numbers The formula for the variance \( \sigma^2 \) of the first \( n \) natural numbers is given by: \[ \sigma^2 = \frac{n^2 - 1}{12} \] According to the problem, this variance is equal to 2: \[ \frac{n^2 - 1}{12} = 2 \] ### Step 2: Solve for \( n \) To solve for \( n \), we first multiply both sides of the equation by 12: \[ n^2 - 1 = 24 \] Next, we add 1 to both sides: \[ n^2 = 25 \] Taking the square root of both sides, we find: \[ n = 5 \quad (\text{since } n \text{ must be positive}) \] ### Step 3: Variance of the first \( m \) odd natural numbers The formula for the variance of the first \( m \) odd natural numbers is: \[ \sigma^2 = \frac{4m^2 - 1}{12} \] According to the problem, this variance is equal to 40: \[ \frac{4m^2 - 1}{12} = 40 \] ### Step 4: Solve for \( m \) To solve for \( m \), we first multiply both sides of the equation by 12: \[ 4m^2 - 1 = 480 \] Next, we add 1 to both sides: \[ 4m^2 = 481 \] Now, we divide both sides by 4: \[ m^2 = \frac{481}{4} \] Taking the square root of both sides, we find: \[ m = \frac{\sqrt{481}}{2} \] Calculating \( \sqrt{481} \) gives us approximately \( 22 \), thus: \[ m \approx \frac{22}{2} = 11 \] ### Step 5: Calculate \( m + n \) Now that we have \( n = 5 \) and \( m = 11 \), we can find \( m + n \): \[ m + n = 11 + 5 = 16 \] ### Final Answer: \[ m + n = 16 \]

To solve the problem, we need to find the values of \( n \) and \( m \) based on the given variances of the first \( n \) natural numbers and the first \( m \) odd natural numbers. ### Step 1: Variance of the first \( n \) natural numbers The formula for the variance \( \sigma^2 \) of the first \( n \) natural numbers is given by: \[ \sigma^2 = \frac{n^2 - 1}{12} \] According to the problem, this variance is equal to 2: ...
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