use python

6.19 LAB: Adjust values in a list by normalizing Whea analyzing data sets, such as data for human heights or for human weights. a common step is to adjust the data. This adjustment can be done by normalizng to values between 0 and 1 , or throwing away outliers. For this program, adjust the values by dividing all values by the largest value. The input begins with an integer indicating the number of floating-point values that follow. Output each floating-point value with two digits after the decimal point, which can be achieved as follows: print ( f{yyourvalue:.2f} ) Exif the input is: the outputis