0 0.05 0.1 0.25 < M$_{jj}$/TeV < 0.3 1/ $_{σ}$dijet  d /d dijet 0 0.05 0.1 0.3 < M$_{jj}$/TeV < 0.4 0 0.05 0.1 0.4 < M$_{jj}$/TeV < 0.5 0.5 < M$_{jj}$/TeV < 0.6 0 0.05 0.1 0.6 < M$_{jj}$/TeV < 0.7 0.7 < M$_{jj}$/TeV < 0.8 0 0.05 0.1 0.8 < M$_{jj}$/TeV < 0.9 0.9 < M$_{jj}$/TeV 1.0 0 0.05 0.1 5 10 15 1.0 < M$_{jj}$/TeV < 1.1 5 10 15 M$_{jj}$/TeV > 1.1 $_{dijet}$ = exp(|y$_{1}$-y$_{2}$|) DØ 0.7 fb 1 Standard Model Quark Compositeness ADD LED (GRW) TeV$^{-1}$ ED  = 2.2 TeV ( =+1) M$_{s}$ = 1.4 TeV M$_{c}$ = 1.3 TeV FIG. 12: DØ’s measurement of the dijet χ for ten dijet mass bins [83]. The solid line is the Standard Model prediction at NLO. The dashed lines show the predictions for various new physics models. collaborations used a modern jet finding algorithm, the midpoint algorithm, which is infra- red and collinear safe at next-to-leading order in pQCD for measurements of the inclusive jet cross section. In addition, the treatment of the underlying event energy and hadronization effects has improved over the techniques used in Run I. The experimental uncertainties are lower than the theoretical uncertainties, which are dominated by the uncertainties on the parton distribution functions. These data have been used in global fits to determine the parton distributions and have decreased the uncertainty on the gluon distribution for the x ≥ 0 . 3 region. The new gluon distribution is slightly lower than that determined by Run I jet cross section measurements. This increase in the accuracy of gluon distributions will make the prediction of various processes more precise. These jet data have been successfully used to search for physics beyond the Standard Model using jet kinematic distributions. The dijet mass spectrum has been used to expand the exclusion regions in parameters of excited quarks in quark compositeness models, E$_{6}$ 35