#+TITLE: Your title #+AUTHOR: Your name #+DATE: Today's date #+LANGUAGE: en # #+PROPERTY: header-args :eval never-export #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: * Data #+begin_src :export output python :session *python* import numpy as np data = np.array([14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]) data #+end_src #+RESULTS: | 14 | 7.6 | 11.2 | 12.8 | 12.5 | 9.9 | 14.9 | 9.4 | 16.9 | 10.2 | 14.9 | 18.1 | 7.3 | 9.8 | 10.9 | 12.2 | 9.9 | 2.9 | 2.8 | 15.4 | 15.7 | 9.7 | 13.1 | 13.2 | 12.3 | 11.7 | 16 | 12.4 | 17.9 | 12.2 | 16.2 | 18.7 | 8.9 | 11.9 | 12.1 | 14.6 | 12.1 | 4.7 | 3.9 | 16.9 | 16.8 | 11.3 | 14.4 | 15.7 | 14 | 13.6 | 18 | 13.6 | 19.9 | 13.7 | 17 | 20.5 | 9.9 | 12.5 | 13.2 | 16.1 | 13.5 | 6.3 | 6.4 | 17.6 | 19.1 | 12.8 | 15.5 | 16.3 | 15.2 | 14.6 | 19.1 | 14.4 | 21.4 | 15.1 | 19.6 | 21.7 | 11.3 | 15 | 14.3 | 16.8 | 14 | 6.8 | 8.2 | 19.9 | 20.4 | 14.6 | 16.4 | 18.7 | 16.8 | 15.8 | 20.4 | 15.8 | 22.4 | 16.2 | 20.3 | 23.4 | 12.1 | 15.5 | 15.4 | 18.4 | 15.7 | 10.2 | 8.9 | 21 | * Calculations What is the average #+begin_src python :export output python :session *python* np.round(np.mean(data), 2) #+end_src #+RESULTS: : 14.11 What is the minimum #+begin_src python :export output python :session *python* np.min(data) #+end_src #+RESULTS: : 2.8 What is the maximum #+begin_src python :export output python :session *python* np.round(np.max(data), 2) #+end_src #+RESULTS: : 23.4 What is the median #+begin_src python :export output python :session *python* np.round(np.median(data), 2) #+end_src #+RESULTS: : 14.5 What is the standard deviation? #+begin_src python :export output python :session *python* np.round(np.std(data, ddof=1), 2) #+end_src #+RESULTS: : 4.33