Department of Statistics

Current Sections   Recent Instructors Gross, Kevin	ST 380	Probability and Statistics for Physical Sciences
	Course Description Introduction to probability models and statistics with emphasis on Monte Carlo simulation and graphical display of data on computer laboratory workstations. Statistical methods include point and interval estimation of population parameters and curve and surface fitting (regression analysis). Course Syllabus Sample spaces Rules of probability Discrete probability functions Continuous probability functions Bayes Theorem Independence Binomial distribution Random variables: densities and distribution functions Joint densities and independence Transformations of random variables Conditional densities Expected values Variance Chebyshev's inequality Poisson distribution Normal distribution Estimation Maximum likelihood Least squares from maximum likelihood Confidence intervals t correction Correlation Nonlinear regression Multiple regression Course Prerequisites MA 241 Course Corequisites None Recent Textbooks Probability and Statistics for Engineering and the Sciences, 5 ed., by Devore.Cabo