Simple Statistics

returnvalue · returnvalue · commit 680cc1f7bfb3 · 2020-08-12T16:34:09.000-04:00
diff --git a/README.md b/README.md
@@ -27,4 +27,5 @@ files, and the full tutorial for each collection of code is available below. 
 20. [Json In Python](https://vegibit.com/python-json-tutorial/)
 21. [XML Parsing](https://vegibit.com/python-xml-parsing/)
 22. [Beautiful Soup Web Scraping](https://vegibit.com/python-web-scraping-with-beautiful-soup/)
-23. [Selenium Python Tutorial](https://vegibit.com/selenium-python-tutorial/)
+23. [Selenium Python Tutorial](https://vegibit.com/selenium-python-tutorial/)
+24. [Simple Statistics](https://vegibit.com/python-statistics-tutorial/)
diff --git a/simplestatistics.py b/simplestatistics.py
@@ -0,0 +1,62 @@
+import statistics
+import math
+
+grades = [80, 85, 77, 97, 100, 75, 88, 90, 93]
+
+# Mean
+# Here is how we calculate the mean(average) of all the grades in our list.
+
+meangrades = statistics.mean(grades)
+print(f'The mean of all the grades is {meangrades}')
+
+
+# Median
+# To calculate the Median, or midpoint of the grades, we’ll use this code here.
+mediangrades = statistics.median(grades)
+print(f'The median of all the grades is {mediangrades}')
+
+# Sort to view the "middle"
+print(sorted(grades))
+
+
+# Now we can do the calculation of the mode like so.
+grades = [75, 80, 85, 77, 97, 100, 75, 88, 75, 90, 93, 77]
+modegrades = statistics.mode(grades)
+print(f'The mode of all the grades is {modegrades}')
+
+
+# Variance
+grades = [75, 80, 85, 77, 97, 100, 75, 88, 75, 90, 93, 77]
+variancegrades = statistics.variance(grades)
+
+print(f'The grades have a variance of {variancegrades}')
+
+grades = [90, 90, 90, 90, 90, 90]
+variancegrades = statistics.variance(grades)
+
+print(f'The grades have a variance of {variancegrades}')
+
+grades = [90, 90, 90, 90, 90, 90, 100]
+variancegrades = statistics.variance(grades)
+print(f'The grades have a variance of {variancegrades}')
+
+grades = [80, 82, 100, 77, 89, 94, 98, 50]
+variancegrades = statistics.variance(grades)
+print(f'The grades have a variance of {variancegrades}')
+
+
+# Standard Deviation
+grades = [89, 91, 95, 92, 93, 94, 98, 90]
+stdevgrades = statistics.stdev(grades)
+
+print(f'The grades have a standard deviation of {stdevgrades}')
+
+grades = [30, 80, 100, 45, 15, 94, 64, 90]
+stdevgrades = statistics.stdev(grades)
+
+print(f'The grades have a standard deviation of {stdevgrades}')
+
+grades = [30, 80, 100, 45, 15, 94, 64, 90]
+stdevgrades = math.sqrt(statistics.variance(grades))
+
+print(f'The grades have a standard deviation of {stdevgrades}')
