(Solved): PYTHON!!!!!   When analyzing data sets, such as data for human heights or for human weights ...

PYTHON!!!!!

 

When 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 normalizing 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'\{your_value:.2f\}') Ex: If the input is: \[ \begin{array}{l} 5 \\ 30.0 \\ 50.0 \\ 10.0 \\ 100.0 \\ 65.0 \end{array} \] the nutnut is. The 5 indicates that there are five floating-point values in the list, namely \( 30.0,50.0,10.0,100.0 \), and \( 65.0 .100 .0 \) is the largest value in the list, so each value is divided by \( 100.0 \). \( 418758.2791894 . q \times 3 z q y 7 \) \begin{tabular}{l|l} LAB & 16.5.1: LAB: Adjust values in a list by normalizing \end{tabular} \( 0 / 10 \) main.py Load default template... 1:Compare output \( \boldsymbol{\wedge} \) Output differs. See highlights below.