Modern statistics is an exciting subject that affects most aspects of modern living. It has been developed to deal rationally and objectively with the uncertainty that accompanies variation in phenomena as highly complex as the interplay of the many factors that affect our environment. It derives vitality in coping with practical problems arising in all fields of scientific activity, including the social, business, biological, agricultural, medical, natural, and engineering sciences. Investigators' efforts to learn about a specific phenomenon, be it the response of a patient to a certain medical treatment or the effectiveness of a particular instructional program on a student's learning, are impacted by the presence of natural variation. The field of statistics is concerned with valid and efficient ways to learn more about these phenomena in the presence of such variation. It is an inductive science in which information is extracted from sample data in order to draw inferences. This process most often involves planning experiments or designing studies to ensure that valid answers to questions are obtained from the sample.

Faculty

Ané, Chappell, Clayton, Kang, Keles, Larget, Loh, Newton, Qian, Raskutti, Rohe, Shao, Tsui, Wahba, S. Wang, Y. Wang (chair), Yandell, Yuan, C. Zhang, Z. Zhang, A. Zhang, Zhu

Emeritus

Bates, Draper, Johnson, Nordheim, Wardrop, and Doksum (retired)

Teaching Staff

Bean, Fischer, Gillett, Keuler, Li, Xia, Yang

Administrative Staff

Brinkerhoff (curricular coordinator), Runyan (department administrator)

IT Staff

Beebe, Brabender, Cammilleri (director)

Student Services Coordinator

Nguyen