The standard deviation of a single observation is not defined.
With a single observation, the mean of the observation(s) would be the same as the value of the observation itself. By definition, therefore, the deviation (difference between observation and mean) would always be zero. Rather a pointless exercise!
Standard deviation of a single event is 0.
The standard deviation for a single observation is 0.
A single number, such as 478912, always has a standard deviation of 0.
the amount by which a single measurement differs from a fixed value such as the mean.
A single observation, such as 50486055535157526145 cannot have a standard deviation cube test compressive result.
One can't associate a standard deviation with a single measurement like this.
Standard deviation of a single event is 0.
The standard deviation for a single observation is 0.
A single observation cannot have a sample standard deviation.
A single number, such as 478912, always has a standard deviation of 0.
A single number, such as 478912, always has a standard deviation of 0.
The standard deviation of a single number, as in this question, is 0.
Standard deviations are measures of data distributions. Therefore, a single number cannot have meaningful standard deviation.
The standard unit measurement for a single dose of Botox is called a "unit."
the amount by which a single measurement differs from a fixed value such as the mean.
A single observation, such as 50486055535157526145 cannot have a standard deviation cube test compressive result.
The standard deviation of a single value, such as 34, is not defined in the traditional sense because standard deviation measures the spread of a set of data points around their mean. If you have a dataset that consists solely of the number 34, the standard deviation would be 0, since there is no variation. However, if you're referring to a dataset that includes 34 along with other values, the standard deviation would depend on the entire dataset.