A guide to statistical data analysis for high energy physics: strongly related to LHC practice and addressing both students entering the field and researchers who are looking for a concise reference. A guide to statistical data analysis for high energy physics: strongly related to LHC practice and addressing both students entering the field and researchers who are looking for a concise reference. 1. Introduction 2. Fundamental concepts. R. Barlow, U Manchester 3. Parameter estimation. O. Behnke, DESY; L. Moneta, CERN 4. Interval estimation. L. Demortier, Rockefeller University 5. Hypothesis testing. D. Piparo and G. Schott, KIT 6. Classification. H. Voss, MPI for Nuclear Physics, Heidelberg 7. Systematic uncertainties. M. Diehl, DESY and R. Wanke, U Mainz 8. Unfolding. V. Blobel, U Hamburg 9. Methods used in HEP. C. Hensel and K. Kroeninger, U Goettingen 10. Constrained fits. B. List, U Hamburg 11. Analysis walk-throughs. A. Heijboer and I. van Vulpen, NIKHEF 12. Applications in related fields. H. Prosper, Florida State University Appendix