in this examplewhat we're going to do is generate some data centered around zerothat is with mean of zerowith standard deviation of and ' going to make data points with that distribution thenwe're going to plot histogram and see what we come up with the generated histogram looks very much like normal distributionbut because there is random component we have little outlier near the deviation of - in this example here things are tipped little bit at the meana little bit of random variation there to make things interesting numpy provides very handy percentile function that will compute the percentile values of this distribution for you sowe created our wbmt list of data using oqsboepnopsnbmand can just call the oqqfsdfoujmf function to figure out the th percentile value in using the following codeoqqfsdfoujmf wbmtthe following is the output of the preceding codethe output turns out to be so rememberthe th percentile is just another name for the medianand it turns out the median is very close to zero in this data you can see in the graph that we're tipped little bit to the rightso that' not too surprising