Department of Statistics

Recent Instructors Arroway, Pam Bondell, Howard Smith, Charlie	ST 370	Probability and Statistics for Engineers
	Course Description This is a calculus-based introduction to probability and statistics with emphasis on Monte Carlo simulation and graphical display of data on computer workstations. Statistical methods include point and interval estimation of population parameters and curve and surface fitting (regression analysis). The principles of experimental design and statistical process control are also introduced. Course Syllabus Types of data Data collection Descriptive statistics Experimental design Least squares fitting Factorial studies Discrete random variables Binomial, Geometric and Poisson distributions Continuous random variables Normal, Gamma, and Weibull distributions Course Prerequisites MA 241 Course Corequisites None Recent Textbooks Basic Engineering Data Collection and Analysis, Vardeman and Jobe