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Let alpha, beta in R. If the mean and th...

Let `alpha, beta in R`. If the mean and the variable of 6 observation, `-3, 4, 7, -6, alpha, beta` be 2 and 23 respectively then mean deviation about the mean of the 6 observation is

A

`(11)/3`

B

`(16)/3`

C

`(13)/3`

D

`(14)/3`

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The correct Answer is:
To solve the problem, we will follow these steps: ### Step 1: Calculate the Mean Given the observations: \(-3, 4, 7, -6, \alpha, \beta\), we know that the mean is given by: \[ \text{Mean} = \frac{-3 + 4 + 7 - 6 + \alpha + \beta}{6} = 2 \] Calculating the sum of the known values: \[ -3 + 4 + 7 - 6 = 2 \] Thus, we can rewrite the equation: \[ \frac{2 + \alpha + \beta}{6} = 2 \] Multiplying both sides by 6 gives: \[ 2 + \alpha + \beta = 12 \] So, we have: \[ \alpha + \beta = 10 \quad \text{(Equation 1)} \] ### Step 2: Calculate the Variance The variance is given as 23. The formula for variance is: \[ \text{Variance} = \frac{\sum (x_i^2)}{n} - \left(\text{Mean}\right)^2 \] Calculating \(\sum (x_i^2)\): \[ (-3)^2 + 4^2 + 7^2 + (-6)^2 + \alpha^2 + \beta^2 = 9 + 16 + 49 + 36 + \alpha^2 + \beta^2 = 110 + \alpha^2 + \beta^2 \] Substituting into the variance formula: \[ 23 = \frac{110 + \alpha^2 + \beta^2}{6} - 2^2 \] Calculating \(2^2\): \[ 23 = \frac{110 + \alpha^2 + \beta^2}{6} - 4 \] Adding 4 to both sides: \[ 27 = \frac{110 + \alpha^2 + \beta^2}{6} \] Multiplying both sides by 6: \[ 162 = 110 + \alpha^2 + \beta^2 \] Thus, we have: \[ \alpha^2 + \beta^2 = 52 \quad \text{(Equation 2)} \] ### Step 3: Solve for \(\alpha\) and \(\beta\) We have two equations now: 1. \(\alpha + \beta = 10\) 2. \(\alpha^2 + \beta^2 = 52\) Using the identity: \[ \alpha^2 + \beta^2 = (\alpha + \beta)^2 - 2\alpha\beta \] Substituting Equation 1 into this identity: \[ 52 = 10^2 - 2\alpha\beta \] Calculating \(10^2\): \[ 52 = 100 - 2\alpha\beta \] Rearranging gives: \[ 2\alpha\beta = 100 - 52 = 48 \] Thus: \[ \alpha\beta = 24 \quad \text{(Equation 3)} \] ### Step 4: Find \(\alpha\) and \(\beta\) Now we can solve for \(\alpha\) and \(\beta\) using the equations: 1. \(\alpha + \beta = 10\) 2. \(\alpha\beta = 24\) Let \(\alpha\) and \(\beta\) be the roots of the quadratic equation: \[ x^2 - (10)x + 24 = 0 \] Calculating the discriminant: \[ D = 10^2 - 4 \cdot 1 \cdot 24 = 100 - 96 = 4 \] The roots are: \[ x = \frac{10 \pm \sqrt{4}}{2} = \frac{10 \pm 2}{2} \] Thus, we have: \[ x = 6 \quad \text{or} \quad x = 4 \] So, \(\alpha = 6, \beta = 4\) or \(\alpha = 4, \beta = 6\). ### Step 5: Calculate the Mean Deviation The mean deviation about the mean (which is 2) is given by: \[ \text{Mean Deviation} = \frac{\sum |x_i - \text{Mean}|}{n} \] Calculating each term: 1. \(|-3 - 2| = 5\) 2. \(|4 - 2| = 2\) 3. \(|7 - 2| = 5\) 4. \(|-6 - 2| = 8\) 5. \(|6 - 2| = 4\) 6. \(|4 - 2| = 2\) Summing these: \[ 5 + 2 + 5 + 8 + 4 + 2 = 26 \] Now, dividing by the number of observations (6): \[ \text{Mean Deviation} = \frac{26}{6} = \frac{13}{3} \] ### Final Answer The mean deviation about the mean of the 6 observations is: \[ \frac{13}{3} \]
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