The concepts of sampling variability and sampling distribution are at the core of statistical inference methods such as tests of hypotheses or confidence intervals. Having a good foundation of these concepts helps students in understanding and solving inference problems.
In this webinar, Dr. Mori Jamshidian of California State University, Fullerton, introduces how Rguroo’s simulation capabilities, graphics, and other data analysis tools can facilitate the teaching of sampling variability and sampling distributions. He shows how students’ knowledge of these concepts aids their understanding of tests of hypotheses and confidence intervals.
Download the webinar files: Analytics｜Data｜Plots｜Simulations
About the Presenter:
Dr. Mori Jamshidian is a CNSM Distinguished Professor in the Mathematics Department at California State University, Fullerton (CSUF). He serves as the Graduate Advisor for the Master of Science in Statistics at CSUF. His past positions include Associate Professor of Statistics at the University of Central Florida and Senior Statistician at the BMDP Statistical Software. His area of research is broadly in computational statistics with publications in major theoretical and applied journals such as the Journal of the American Statistical Association, Journal of the Royal Statistical Society, and Psychometrika. He is currently an Associate Editor for the Journal of Computational and Graphical Statistics and in the past has served as Associate Editor for The American Statistician, Journal of Statistical Software, and Journal of Statistical Computation and Simulation. His current activities include research in statistics education and development of statistical software for teaching statistics.