Update BDT.md

Author: jfparie

content/english/technical-tools/BDT.md

@@ -151,12 +151,18 @@ The unsupervised bias detection tool performs a series of steps:
 
 <span style="color:#005AA7">Step 5. Testing cluster differences wrt. bias variable:</span> Statistical hypothesis testing is performed to evaluate whether the bias variable differ significantly in the most deviating cluster compared to the rest of the dataset. A one-sided Z-test is used to compare the means of the bias variable by testing the following hypothesis:
 <<<<<<< Updated upstream
+<<<<<<< Updated upstream
+=======
 =======
 
 H_0: no difference in `bias_variable` between the most deviating cluster and the rest of the dataset
 H_A: difference in `bias_variable` between the most deviating cluster and the rest of the dataset
 >>>>>>> Stashed changes
 
+H_0: no difference in `bias_variable` between the most deviating cluster and the rest of the dataset
+H_A: difference in `bias_variable` between the most deviating cluster and the rest of the dataset
+>>>>>>> Stashed changes
+
 ```
 H_0: no difference in bias variable between the most deviating cluster and the rest of the dataset
 H_A: difference in bias variable between the most deviating cluster and the rest of the dataset.