  Statistical tools have been developed to quantify the agreement between a
hypothesis or a model and the observed data for probabilistic phenomena. In
this work, we define statistical methods used to measure the properties of the
higgs boson in the LHC on the one hand, but also to evaluate the uncertainty
and precision on these measurements. They are based on the definition of a
likelihood function whose construction will be detailed below. The challenge of
HEP is to generate tons of data and to develop powerful analyses to tell if the
data indeed contains evidence for the new particle, and confirm it's the
expected Higgs boson.
