Statistics with Python

There here contained course material servers the purpose of teaching how to do statistics with Python at University of Greifswald.

In your JupyterHub, open a Terminal window and execute the following code:

git clone https://github.com/KatharinaHoff/StatisticsPython.git

Most chapters in this course were created by using the R-Handbook for Biostatistics (http://bioinf.uni-greifswald.de/bioinf/katharina/bsc/RManual_English.pdf) and replacing R code by Python code.

Credits to: Fabian Wilde, Mario Stanke, Matthis Ebel, Ludwig A. Hothorn, Frank Bretz, Jan-Eric Englund, Katharina Hoff

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
data		data
figs		figs
01_Introduction.ipynb		01_Introduction.ipynb
01_Introduction_solution.ipynb		01_Introduction_solution.ipynb
02_Descriptive_Statistics.ipynb		02_Descriptive_Statistics.ipynb
02_Descriptive_Statistics_solution.ipynb		02_Descriptive_Statistics_solution.ipynb
03_Graphics.ipynb		03_Graphics.ipynb
03_Graphics_solution.ipynb		03_Graphics_solution.ipynb
04_ChiSquareTest.ipynb		04_ChiSquareTest.ipynb
04_ChiSquareTest_solution.ipynb		04_ChiSquareTest_solution.ipynb
05_F-Test.ipynb		05_F-Test.ipynb
05_F-Test_solution.ipynb		05_F-Test_solution.ipynb
06_Kolmogorov_Smirnov-Test.ipynb		06_Kolmogorov_Smirnov-Test.ipynb
06_Kolmogorov_Smirnov-Test_solution.ipynb		06_Kolmogorov_Smirnov-Test_solution.ipynb
07_t-Test.ipynb		07_t-Test.ipynb
07_t-Test_solution.ipynb		07_t-Test_solution.ipynb
08_Wilcoxon-Test.ipynb		08_Wilcoxon-Test.ipynb
08_Wilcoxon-Test_solution.ipynb		08_Wilcoxon-Test_solution.ipynb
09_Correlation.ipynb		09_Correlation.ipynb
09_Correlation_solution.ipynb		09_Correlation_solution.ipynb
10_Regression.ipynb		10_Regression.ipynb
10_Regression_solution.ipynb		10_Regression_solution.ipynb
11_ANOVA.ipynb		11_ANOVA.ipynb
11_ANOVA_solution.ipynb		11_ANOVA_solution.ipynb
README.md		README.md

KatharinaHoff/StatisticsPython