The rate of neutrino and antineutrino induced same-sign dimuon production was measured using a sample of 220 µ-µ-events and 15 µ+µ+ events, normalized to 1.5 million neutrino-induced charged-current events and 0.3 million antineutrino-induced events with energies between 30 GeV and 600 GeV. The data was obtained with the Chicago-Columbia-Fermilab-Rochester neutrino detector at the Fermilab Tevatron during two experiments, E744 and E770. The CCFR detector is a combined steel target and calorimeter which is followed by a muon-momentum spectrometer. After background subtraction, the prompt rate of same-sign dimuon production is (0.53±0.24)x10-4 per charged-current event for neutrinos and (0.52±0.33)x10-4 per charged-current events for antineutrinos. These rates are consistent with Standard Model predictions for cc gluon bremsstrahlung and with zero. The kinematic distributions of the same-sign dimuon signal are consistent with those of the nonprompt background due to meson decays in the hadron shower of a charged-current events and cc gluon bremsstrahlung. iii Acknowledgements I give my deepest thanks to my advisor, Wesley Smith, for he taught me how to be a physicist. I could not ask for a better teacher. I admire his quick perception and insight into physics and beyond and have thoroughly enjoyed being his student. I would also like to thank Arie Bodek, who helped me work through seemingly insurmountable obstacles. I thank him for sharing his wisdom. It was Ugo Camerini's idea that I embark on this project that has led to a Ph.D. I appreciate everything he has taught me during my graduate career, physics and otherwise. I certainly would not have finished this work without him. I thank Jane Camerini, my advisor for the world outside physics, for our incredibly enlightening discussions. This work was made much easier with .the support and friendship of Christopher Watts. He has reminded me how interesting all of physics really is. I thank Tim Kinnel for listening to me think my work through, and for sharing his work with me. I thank Herbi Dreiner for conversations and company late at night in Chamberlin hall during the years we were both in graduate school. I thank Dick Gustafson for listening to my rantings and encouraging me to have fun with my work. I also thank Anna Goussiou and John Jacobsen for being great office mates. I would like to acknowledge each member • of the CCFR collaboration, for this work really represents the contributions from each lV one of us. Thanks to Heidi Schellman for getting me started analyzing the data.