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the mean deviation about the mean for the followin
Question:
The mean deviation about the mean for the following data is:
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To compute mean deviation, find class midpoints, calculate the mean, take absolute deviations, and apply the formula.
TS EAMCET - 2024
TS EAMCET
Updated On:
May 2, 2025
\(2\)
\( \frac{15}{13} \)
\( \frac{22}{13} \)
\( \frac{20}{13} \)
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The Correct Option is
D
Solution and Explanation
Step 1: Computing class midpoints.
The class midpoints are: \[ x_i = \frac{\text{Lower Limit} + \text{Upper Limit}}{2} \] \[ x_1 = 1, \quad x_2 = 3, \quad x_3 = 5, \quad x_4 = 7, \quad x_5 = 9 \]
Step 2: Computing the mean.
The mean is given by: \[ \bar{x} = \frac{\sum f_i x_i}{\sum f_i} \] \[ = \frac{(1 \times 1) + (3 \times 3) + (5 \times 5) + (3 \times 7) + (1 \times 9)}{1+3+5+3+1} \] \[ = \frac{1 + 9 + 25 + 21 + 9}{13} = \frac{65}{13} = 5 \]
Step 3: Computing absolute deviations.
\[ |x_i - \bar{x}| \] \[ |1 - 5| = 4, \quad |3 - 5| = 2, \quad |5 - 5| = 0, \quad |7 - 5| = 2, \quad |9 - 5| = 4 \]
Step 4: Computing mean deviation.
\[ MD = \frac{\sum f_i |x_i - \bar{x}|}{\sum f_i} \] \[ = \frac{(1 \times 4) + (3 \times 2) + (5 \times 0) + (3 \times 2) + (1 \times 4)}{13} \] \[ = \frac{4 + 6 + 0 + 6 + 4}{13} = \frac{20}{13} \] Thus, the mean deviation about the mean is: \[ \mathbf{\frac{20}{13}} \]
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