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Find the mean deviation using arithmetic...

Find the mean deviation using arithmetic mean for the following observations:
(a) 68,32,49,54,21,38,59,41,66,76
(b) 28,12,17,35,22,18,5,32

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To find the mean deviation using the arithmetic mean for the given observations, we will follow these steps for both parts of the question. ### Part (a): Observations: 68, 32, 49, 54, 21, 38, 59, 41, 66, 76 **Step 1: Calculate the Mean (x̄)** The mean is calculated using the formula: \[ x̄ = \frac{\sum x}{n} \] Where \( \sum x \) is the sum of all observations and \( n \) is the number of observations. - Sum of observations: \[ 68 + 32 + 49 + 54 + 21 + 38 + 59 + 41 + 66 + 76 = 504 \] - Number of observations (n): \[ n = 10 \] - Mean (x̄): \[ x̄ = \frac{504}{10} = 50.4 \] **Step 2: Calculate the Absolute Deviations (|x - x̄|)** Now we will find the absolute deviations of each observation from the mean: \[ |x - x̄| \] - \( |68 - 50.4| = 17.6 \) - \( |32 - 50.4| = 18.4 \) - \( |49 - 50.4| = 1.4 \) - \( |54 - 50.4| = 3.6 \) - \( |21 - 50.4| = 29.4 \) - \( |38 - 50.4| = 12.4 \) - \( |59 - 50.4| = 8.6 \) - \( |41 - 50.4| = 9.4 \) - \( |66 - 50.4| = 15.6 \) - \( |76 - 50.4| = 25.6 \) **Step 3: Calculate the Sum of Absolute Deviations** Now, we sum all the absolute deviations: \[ \sum |x - x̄| = 17.6 + 18.4 + 1.4 + 3.6 + 29.4 + 12.4 + 8.6 + 9.4 + 15.6 + 25.6 = 142 \] **Step 4: Calculate the Mean Deviation (MD)** Finally, we calculate the mean deviation using the formula: \[ MD = \frac{\sum |x - x̄|}{n} \] \[ MD = \frac{142}{10} = 14.2 \] ### Part (b): Observations: 28, 12, 17, 35, 22, 18, 5, 32 **Step 1: Calculate the Mean (x̄)** Using the same formula: \[ x̄ = \frac{\sum x}{n} \] - Sum of observations: \[ 28 + 12 + 17 + 35 + 22 + 18 + 5 + 32 = 169 \] - Number of observations (n): \[ n = 8 \] - Mean (x̄): \[ x̄ = \frac{169}{8} = 21.125 \] **Step 2: Calculate the Absolute Deviations (|x - x̄|)** Now we will find the absolute deviations of each observation from the mean: \[ |x - x̄| \] - \( |28 - 21.125| = 6.875 \) - \( |12 - 21.125| = 9.125 \) - \( |17 - 21.125| = 4.125 \) - \( |35 - 21.125| = 13.875 \) - \( |22 - 21.125| = 0.875 \) - \( |18 - 21.125| = 3.125 \) - \( |5 - 21.125| = 16.125 \) - \( |32 - 21.125| = 10.875 \) **Step 3: Calculate the Sum of Absolute Deviations** Now, we sum all the absolute deviations: \[ \sum |x - x̄| = 6.875 + 9.125 + 4.125 + 13.875 + 0.875 + 3.125 + 16.125 + 10.875 = 65 \] **Step 4: Calculate the Mean Deviation (MD)** Finally, we calculate the mean deviation: \[ MD = \frac{\sum |x - x̄|}{n} \] \[ MD = \frac{65}{8} = 8.125 \] ### Final Answers: - Mean Deviation for Part (a): **14.2** - Mean Deviation for Part (b): **8.125**

To find the mean deviation using the arithmetic mean for the given observations, we will follow these steps for both parts of the question. ### Part (a): Observations: 68, 32, 49, 54, 21, 38, 59, 41, 66, 76 **Step 1: Calculate the Mean (x̄)** The mean is calculated using the formula: \[ x̄ = \frac{\sum x}{n} \] Where \( \sum x \) is the sum of all observations and \( n \) is the number of observations. ...
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