Answer: 93

## Calculation Steps Given: - ∑x = 31,353 - n = 100 - ∑x² = 10,687,041 **Step 1: Calculate the sample mean (x̄)** \[ \bar{x} = \frac{\sum x}{n} = \frac{31,353}{100} = 313.53 \] **Step 2: Calculate the sample variance (s²)** Using the formula: \[ s^2 = \frac{1}{(n-1)} \left[ \sum x^2 - n\bar{x}^2 \right] \] \[ s^2 = \frac{1}{99} \left[ 10,687,041 - 100 \times (313.53)^2 \right] \] \[ s^2 = \frac{1}{99} \left[ 10,687,041 - 100 \times 98,300.8609 \right] \] \[ s^2 = \frac{1}{99} \left[ 10,687,041 - 9,830,086.09 \right] \] \[ s^2 = \frac{1}{99} \times 856,954.91 = 8,655.9082 \] **Step 3: Calculate the sample standard deviation (s)** \[ s = \sqrt{s^2} = \sqrt{8,655.9082} = 93.0371 \approx 93 \] Therefore, the sample standard deviation is approximately **93**.

Author: Tanishq Prabhu