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Find the mean deviation from mean for th...

Find the mean deviation from mean for the following data :
`{:(x_i:, 3,5,7,9,11,13),(f_i: , 2,7,10,9,5,1):}`

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To find the mean deviation from the mean for the given data, we will follow these steps: ### Step 1: Calculate the Mean (X̄) We will first calculate the mean (X̄) using the formula: \[ X̄ = \frac{\sum (f_i \cdot x_i)}{\sum f_i} \] #### Given Data: - \( x_i = \{3, 5, 7, 9, 11, 13\} \) - \( f_i = \{2, 7, 10, 9, 5, 1\} \) #### Calculation: 1. Calculate \( f_i \cdot x_i \): - \( 3 \cdot 2 = 6 \) - \( 5 \cdot 7 = 35 \) - \( 7 \cdot 10 = 70 \) - \( 9 \cdot 9 = 81 \) - \( 11 \cdot 5 = 55 \) - \( 13 \cdot 1 = 13 \) 2. Sum of \( f_i \cdot x_i \): \[ \sum (f_i \cdot x_i) = 6 + 35 + 70 + 81 + 55 + 13 = 260 \] 3. Sum of \( f_i \): \[ \sum f_i = 2 + 7 + 10 + 9 + 5 + 1 = 34 \] 4. Calculate the mean: \[ X̄ = \frac{260}{34} \approx 7.64 \] ### Step 2: Calculate the Mean Deviation The mean deviation is calculated using the formula: \[ \text{Mean Deviation} = \frac{\sum f_i \cdot |x_i - X̄|}{\sum f_i} \] #### Calculation: 1. Calculate \( |x_i - X̄| \): - \( |3 - 7.64| = 4.64 \) - \( |5 - 7.64| = 2.64 \) - \( |7 - 7.64| = 0.64 \) - \( |9 - 7.64| = 1.36 \) - \( |11 - 7.64| = 3.36 \) - \( |13 - 7.64| = 5.36 \) 2. Calculate \( f_i \cdot |x_i - X̄| \): - \( 2 \cdot 4.64 = 9.28 \) - \( 7 \cdot 2.64 = 18.48 \) - \( 10 \cdot 0.64 = 6.4 \) - \( 9 \cdot 1.36 = 12.24 \) - \( 5 \cdot 3.36 = 16.8 \) - \( 1 \cdot 5.36 = 5.36 \) 3. Sum of \( f_i \cdot |x_i - X̄| \): \[ \sum (f_i \cdot |x_i - X̄|) = 9.28 + 18.48 + 6.4 + 12.24 + 16.8 + 5.36 = 68.56 \] 4. Calculate the mean deviation: \[ \text{Mean Deviation} = \frac{68.56}{34} \approx 2.01 \] ### Final Answer: The mean deviation from the mean for the given data is approximately **2.01**. ---
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