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 This project was developed through the Data Science and Analytics course at the Mannheim University of Applied Sciences. A data science cycle was taught theoretically on the basis of lectures and implemented practically in the project. 
 
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 # Analysis of cardiovascular diseases using ECG data
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-
-## Analysis of cardiovascular diseases using ECG data
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 ## Table of Contents
 - [About](#about)
@@ -65,21 +59,15 @@ This project was implemented in Python. To use the project, all packages listed
 - Start exploring signal processing
 
 
+### Demographic plots
 
-#### Hypothesen
-The following two hypotheses were applied in this project:
+#### Histogram
+The following histogram shows the age distribution. It illustrates the breakdown of the grouped diagnoses by age group as well as the absolute frequencies of the diagnoses.
 
-- Using ECG data, a classifier can classify the four disease groupings with an accuracy of 80%.
+The exact procedure for creating the histogram can be found in the notebook [demographic_plots.ipynb](notebooks/demographic_plots.ipynb).
 
-- Sinus bradycardia occurs significantly more frequently in the 60 to 70 age group than in other age groups.
-The procedure was as follows:
 
-1.
-2.
-3.
-4.
-
-### Demographic plotted
+![Alt-Text](readme_data/Histogramm.png)
 
 #### Correlation matrix
 
@@ -96,15 +84,18 @@ The exact procedure for creating the matrix can be found in the notebook [demogr
 
 
 
-#### Histogramm
-The following histogram shows the age distribution. It illustrates the breakdown of the grouped diagnoses by age group as well as the absolute frequencies of the diagnoses.
+#### Hypotheses
 
-The exact procedure for creating the histogram can be found in the notebook [demographic_plots.ipynb](notebooks/demographic_plots.ipynb).
+The following two hypotheses were applied in this project:
+
+- Using ECG data, a classifier can classify the four disease groupings with an accuracy of 80%.
+
+- Sinus bradycardia occurs significantly more frequently in the 60 to 70 age group than in other age groups.
 
 
-![Alt-Text](readme_data/Histogramm.png)
-
+ The second hypothesis was tested for significance using the chi-square test. The detailed procedure can be found in the following notebook: [statistics.ipynb](notebooks/statistics.ipynb)
 
+Ergebnis: Der Hypothesentest hat ergeben, dass...
 
 ## Contributing
 - coming at the end of the Project...