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The mean and variance of 8 observations ...

The mean and variance of 8 observations are respectively 9 and 9.25. If six observations are 4,6,7,8,12 and 13 then find the remaining two observations.

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To solve the problem, we need to find the remaining two observations given the mean and variance of a set of eight observations. Let's break down the solution step by step. ### Step 1: Understand the Given Information We are given: - Mean of 8 observations = 9 - Variance of 8 observations = 9.25 - Six observations = 4, 6, 7, 8, 12, 13 Let the remaining two observations be \( x \) and \( y \). ### Step 2: Use the Mean to Find the Sum of Observations The formula for the mean is: \[ \text{Mean} = \frac{\text{Sum of all observations}}{\text{Number of observations}} \] Given the mean is 9 and there are 8 observations, we can write: \[ 9 = \frac{4 + 6 + 7 + 8 + 12 + 13 + x + y}{8} \] Calculating the sum of the known observations: \[ 4 + 6 + 7 + 8 + 12 + 13 = 50 \] Now substituting this into the mean equation: \[ 9 = \frac{50 + x + y}{8} \] Multiplying both sides by 8: \[ 72 = 50 + x + y \] Thus, we find: \[ x + y = 72 - 50 = 22 \quad \text{(Equation 1)} \] ### Step 3: Use the Variance to Find Another Equation The formula for variance is: \[ \text{Variance} = \frac{\sum (x_i - \text{mean})^2}{n} \] Given the variance is 9.25 for 8 observations: \[ 9.25 = \frac{\sum (x_i - 9)^2}{8} \] Multiplying both sides by 8: \[ 74 = \sum (x_i - 9)^2 \] Now we will calculate \( \sum (x_i - 9)^2 \) for the known observations: \[ (4 - 9)^2 + (6 - 9)^2 + (7 - 9)^2 + (8 - 9)^2 + (12 - 9)^2 + (13 - 9)^2 \] Calculating each term: \[ (4 - 9)^2 = 25, \quad (6 - 9)^2 = 9, \quad (7 - 9)^2 = 4, \quad (8 - 9)^2 = 1, \quad (12 - 9)^2 = 9, \quad (13 - 9)^2 = 16 \] Summing these: \[ 25 + 9 + 4 + 1 + 9 + 16 = 64 \] Now we can write: \[ 74 = 64 + (x - 9)^2 + (y - 9)^2 \] Thus: \[ (x - 9)^2 + (y - 9)^2 = 74 - 64 = 10 \quad \text{(Equation 2)} \] ### Step 4: Solve the System of Equations We have two equations: 1. \( x + y = 22 \) 2. \( (x - 9)^2 + (y - 9)^2 = 10 \) From Equation 1, we can express \( y \) in terms of \( x \): \[ y = 22 - x \] Substituting this into Equation 2: \[ (x - 9)^2 + ((22 - x) - 9)^2 = 10 \] This simplifies to: \[ (x - 9)^2 + (13 - x)^2 = 10 \] Expanding both squares: \[ (x^2 - 18x + 81) + (169 - 26x + x^2) = 10 \] Combining like terms: \[ 2x^2 - 44x + 250 = 10 \] Rearranging gives: \[ 2x^2 - 44x + 240 = 0 \] Dividing through by 2: \[ x^2 - 22x + 120 = 0 \] ### Step 5: Factor the Quadratic Equation Factoring the quadratic: \[ (x - 12)(x - 10) = 0 \] Thus, \( x = 12 \) or \( x = 10 \). ### Step 6: Find Corresponding Values of \( y \) Using \( x + y = 22 \): - If \( x = 12 \), then \( y = 22 - 12 = 10 \). - If \( x = 10 \), then \( y = 22 - 10 = 12 \). ### Conclusion The remaining two observations are \( 10 \) and \( 12 \). ---

To solve the problem, we need to find the remaining two observations given the mean and variance of a set of eight observations. Let's break down the solution step by step. ### Step 1: Understand the Given Information We are given: - Mean of 8 observations = 9 - Variance of 8 observations = 9.25 - Six observations = 4, 6, 7, 8, 12, 13 ...
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NAGEEN PRAKASHAN ENGLISH-STATISTICS-EXERCISE
  1. Find the mean deviation using arithmetic mean for the following observ...

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  2. Find the mean deviation using median for the following observations: ...

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  3. Find the mean deviation using arithmetic mean for the following

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  4. Find the mean deviation using median for the following datas:

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  5. Find the standard deviation from the following datas:

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  6. Find the standard deviation from the following datas, using assumed me...

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  7. Find the standard deviation from the following datas, using assumed me...

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  8. Find the standard deviation from the following datas, using assumed me...

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  9. The mean and variance of 5 observations are respectively 4.4 and 8.24....

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  10. The mean and variance of 8 observations are respectively 9 and 9.25. I...

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  11. The mean and standard deviation of 100 observations were calculated as...

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  12. The mean and standard deviation of 20 observations are found to be ...

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  13. Calculate the mean and standard deviation of first n natural numbers.

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  14. Calculate the mean and standard deviation of first natural numbers.

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  15. Find out the standard deviation from the following distribution table:

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  16. If the coefficients of variations for two distributions are 40 and 50 ...

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  17. Find which group is more variable:

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  18. The arithmetic means of two distributions are 20 and 35 and their S.D....

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  19. Find which group is more variable:

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  20. In the following table, the mean and S.D. of the income of the employe...

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