To calculate the standard deviation of the data responses (1, 1, 2, 3, 3), follow these steps:
- Calculate the mean (average):
\[ \text{Mean} = \frac{(1 + 1 + 2 + 3 + 3)}{5} = \frac{10}{5} = 2 \]
- Calculate each response's deviation from the mean, square it, and sum those squared deviations:
\[ (1 - 2)^2 = (-1)^2 = 1 \] \[ (1 - 2)^2 = (-1)^2 = 1 \] \[ (2 - 2)^2 = (0)^2 = 0 \] \[ (3 - 2)^2 = (1)^2 = 1 \] \[ (3 - 2)^2 = (1)^2 = 1 \]
Sum of squared deviations:
\[ 1 + 1 + 0 + 1 + 1 = 4 \]
- Divide the sum of squared deviations by the number of responses (n = 5) to find the variance:
\[ \text{Variance} = \frac{4}{5} = 0.8 \]
- Calculate the standard deviation:
\[ \text{Standard Deviation} = \sqrt{0.8} \approx 0.8944 \]
So, the standard deviation of the data is approximately 0.8944.