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For a group of 50 male workers, the mean...

For a group of 50 male workers, the mean and standard deviations of their daily wages are ₹ 63 and ₹ 9 respectively for a group of 40 female workers, these are ₹ 54 and ₹ 6 respectively. Find the mean and standard deviation for the combined group.

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To find the combined mean and standard deviation for the group of male and female workers, we will follow these steps: ### Step 1: Calculate the Combined Mean The formula for the combined mean \( \bar{X} \) of two groups is given by: \[ \bar{X} = \frac{n_m \cdot \bar{X}_m + n_f \cdot \bar{X}_f}{n_m + n_f} \] Where: - \( n_m \) = number of male workers = 50 - \( \bar{X}_m \) = mean wage of male workers = ₹ 63 - \( n_f \) = number of female workers = 40 - \( \bar{X}_f \) = mean wage of female workers = ₹ 54 Substituting the values: \[ \bar{X} = \frac{50 \cdot 63 + 40 \cdot 54}{50 + 40} \] Calculating the numerator: \[ 50 \cdot 63 = 3150 \] \[ 40 \cdot 54 = 2160 \] \[ 3150 + 2160 = 5310 \] Now, calculating the denominator: \[ 50 + 40 = 90 \] Now, substituting back into the formula: \[ \bar{X} = \frac{5310}{90} = 59 \] ### Step 2: Calculate the Combined Standard Deviation The formula for the combined standard deviation \( \sigma \) is: \[ \sigma = \sqrt{\frac{n_m \cdot \sigma_m^2 + n_f \cdot \sigma_f^2 + n_m \cdot (d_m^2) + n_f \cdot (d_f^2)}{n_m + n_f}} \] Where: - \( \sigma_m \) = standard deviation of male workers = ₹ 9 - \( \sigma_f \) = standard deviation of female workers = ₹ 6 - \( d_m \) = deviation of male mean from combined mean = \( |\bar{X} - \bar{X}_m| = |59 - 63| = 4 \) - \( d_f \) = deviation of female mean from combined mean = \( |\bar{X} - \bar{X}_f| = |59 - 54| = 5 \) Calculating \( \sigma_m^2 \) and \( \sigma_f^2 \): \[ \sigma_m^2 = 9^2 = 81 \] \[ \sigma_f^2 = 6^2 = 36 \] Now substituting into the formula: \[ \sigma = \sqrt{\frac{50 \cdot 81 + 40 \cdot 36 + 50 \cdot 4^2 + 40 \cdot 5^2}{90}} \] Calculating each term: \[ 50 \cdot 81 = 4050 \] \[ 40 \cdot 36 = 1440 \] \[ 50 \cdot 16 = 800 \quad \text{(since } 4^2 = 16\text{)} \] \[ 40 \cdot 25 = 1000 \quad \text{(since } 5^2 = 25\text{)} \] Now summing these: \[ 4050 + 1440 + 800 + 1000 = 7290 \] Now substituting back into the formula: \[ \sigma = \sqrt{\frac{7290}{90}} = \sqrt{81} = 9 \] ### Final Results - Combined Mean = ₹ 59 - Combined Standard Deviation = ₹ 9
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