While the Boxplot and interquartile range measures position with the median. Another method is to measure position in relation to the mean using zscores.
The sample zscore for a measurement x is \[z=\frac{x\bar{x}}{s}\]
The population zscore for a measurement x is \[z=\frac{x\mu}{\sigma}\]

Example: Suppose a sample of 2000 high school seniors' verbal SAT scores is selected. The mean and standard deviation are \(\bar{x}=550,\,s=75\). A student scored 475. What is his sample zscore?
Solution:
\[z=\frac{x\bar{x}}{s}=\frac{475550}{75} = 1.0\]
This means that the student scored 1.0 standard deviations below the sample mean.