Lineare Regression

Sonstiges/STAT2/vl3-standardfehler.py

@@ -1,7 +1,12 @@
+import os
 import pandas as pd
 import numpy as np
 
-df = pd.read_csv('/home/pi/Documents/Code/Python/ProgrammierungUndDatenanalyse/Sonstiges/STAT2/vl3-standardfehler.csv')
+# location will help to open files in the same directory as the py-script
+__location__ = os.path.realpath(
+    os.path.join(os.getcwd(), os.path.dirname(__file__)))
+
+df = pd.read_csv(os.path.join(__location__, 'vl3-standardfehler.csv'))
 
 # Dataframe
 print(df)
@@ -27,14 +32,28 @@ for index, row in df.iterrows():
     summeQuadrierteAbweichungen = summeQuadrierteAbweichungen + (row.freq * (row.x - mean)**2)
     print(row['x'], row['freq'], 'summe²abweichungen: ', summeQuadrierteAbweichungen)
 variance = variancePart1 * summeQuadrierteAbweichungen
-print("variance: ", variance)
+print("pop variance: ", variance)
 
+# √(^σ²)
 standardDev = variance**(1/2) # √n = n^1/2
-print("Standardabweichung: ", standardDev) 
+print("pop Standardabweichung: ", standardDev) 
 
+# √(ŝd / freq)
 standardfehler = standardDev / sums.freq**(1/2) # √n = n^1/2
 print("Standardfehler des Mittelwerts: ", standardfehler) 
 
+
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+
+
+# "Bonus":
+
 # Mittelwertsverteilung bei 2 Würfeln
 print()
 import random