2005 Fall STA 113-001
Bulletin Course Description Introduction to probability, independence, conditional independence, and Bayes' theorem. Discrete and continuous, univariate and multivariate distributions. Linear and nonlinear transformations of random variables. Classical and Bayesian inference, decision theory, and comparison of hypotheses. Experimental design, statistical quality control, and other applications in engineering. Not open to students who have taken Statistics 114 or 213. Instructor: Staff
(Instructor named in bulletin description above may not be current. For current instructor, see listing below.)
Title PROBABIL/STATIS IN EGR Department STA Course Number 2005 Fall 113 Section Number 001 Primary Instructor Liang,Feng Prerequisites Prerequisite: Mathematics 103 or equivalent.
Prerequisites
Mathematics 103 or equivalent
Not open to students who have taken STA 112 or STA 213
Synopsis of course content
Statistics 113 introduces statistical methods used in engineering.
Topics include: Introduction to probability, independence, conditional independence, and Bayes' theorem. Discrete and continuous, univariate and multivariate distributions. Linear and nonlinear transformations of random variables. Classical and Bayesian inference, decision theory, and comparison of hypotheses. Experimental design, statistical quality control, and other applications in engineering.
Assignments
Assignments may include quizzes, homeworks, exams, computing labs, and projects. In computing labs, students analyze datasets using statistical software.
Additional Information
Statistics 113 provides an introduction to the statistical methods used by engineers. The course gives a basis for advanced courses in engineering that use statistics.
Statistics 101 and 103 are at a lower mathematical level than Statistics 113. These two courses are not geared towards engineers and hence do not prepare Pratt students for future courses. Students in Pratt should take Statistics 113. Statistics 113 also is appropriate for students wanting a mathematically rigorous introduction to statistics in one semester as opposed to two semesters (which is taking Stat 104 and Stat 114).
