What is Informational Statistics?
Statistics is a broad mathematical discipline which studies ways to collect, summarize, and draw conclusions from data. It is applicable to a wide variety of academic disciplines, from physical and social sciences to the humanities, as well as to business, government, and industry.
Once data is collected, either through a formal sampling procedure or by recording responses to treatments in an experimental setting (experimental design), or by repeatedly observing a process over time (time series), graphical and numerical summaries may be obtained using descriptive statistics.
Patterns in the data are modeled to draw inferences about the larger population, using inferential statistics accounting for randomness, and uncertainty in the observations. These inferences may take form of decision making (hypothesis testing), estimates of numerical characteristics (estimation), prediction of future observations, descriptions of association (correlation), or modeling of relationships (regression).
Major in Informational Statistics
The major in Informational Statistics was founded in 1990 and has made great de- velopments. The Department currently has 7 professors, about 30 graduate students, and 170 undergraduate students. Balanced programs for students have been established so that they learn statistical theory as well as practice analyzing data with various statistical computer packages. In order to support independent study, the Department provides two rooms exclusively for a Statistics Library and Com- puting Lab.
The Statistics Library is filled with numerous statistics and computer science books and relevant outstanding papers. The Computing Lab has computers with programs such as SAS, SPSS, S-PLUS, Minitab, MATLAB, and R. The Department has active research programs in statistical genetics, bio-informatics, Bayesian statistics, statistical computing, pattern recognition, and other topics.
Careers
Students may seek employment in a number of companies, including major conglomerates, statistical package development firms, life insurance companies, banks, research firms, and the civil service.