Statistics of Swift discovered Gamma Ray Bursts

Over the last 9 and a half years the NASA {\it Swift} Gamma-Ray Burst Explorer Mission has discovered more than 900 Gamma-Ray Bursts (GRBs). This unique data set allows for the first time a detailed statistical analysis of GRBs. In my talk I will present new relations between the prompt and the X-ray afterglow emission that will show that the prompt emission already dictates the fate of the GRB afterglow. I will also present multi-variate statistical analysis of the data set employing a Principal Component Analysis (PCA) and Cluster analysis. The PCA shows that the properties of GRBs are primarily driven by energetics. The Cluster Analysis allows to easily separate between three groups of GRBs - short and long duration GRBs and X-ray Flashes (XRFs).