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The standard deviation of an ungrouped data can be calculated using one of the following methods:
- Direct Method:
Let x_{1}, x_{2}, x_{3}, … , x_{n} be the given data for n observations.
Then, the formula to calculate the standard deviation by direct method is given by:
\sigma = \sqrt{\frac{\sum x_{i}^{2}}{n}- \left(\frac{\sum x_{i}}{n}\right)^2}
- Mean Method:
Let x_{1}, x_{2}, x_{3}, … , x_{n} be the given data for n observations.
And, \overline{x} is the mean of the n observations.
Then, the formula to calculate the standard deviation by mean method is given by:
\sigma = \sqrt{\frac{\sum d_{i}^{2}}{n}} where d_{i} = x_{i} - \overline{x}
- Assumed Mean Method:
If the mean of the given data is not an integer, then use the assumed mean method to find the standard deviation.
Let x_{1}, x_{2}, x_{3}, … , x_{n} be the given data and \overline{x} be its mean.
Let d_{i} be the deviation of each observation x_{i} from the assumed mean A where A is the middle most value of the given data. That is, d_{i} = x_{i} - A.
Then, the formula to calculate the standard deviation by assumed mean method is given by:
\sigma = \sqrt{\frac{\sum d_{i}^{2}}{n}- \left(\frac{\sum d_{i}}{n}\right)^2}
- Step Deviation Method:
Let x_{1}, x_{2}, x_{3}, … , x_{n} be the given data and A is its assumed mean.
Let c be the common divisor of x_{i} - A.
Let d_{i} = \frac{x_{i} - A}{c}.
Then, the formula to calculate the standard deviation by step deviation method is given by:
\sigma = c \times \sqrt{\frac{\sum d_{i}^{2}}{n}- \left(\frac{\sum d_{i}}{n}\right)^2}
Important!
- When each values of the observation is added or subtracted by a fixed constant then the standard deviation remains the same.
- When each values of the observation is multiplied or divided by a fixed constant then the standard deviation is also multiplied or divided by the same constant.