PPT-Teaching Introductory Statistics with Simulation-Based Inference

Allan Rossman and Beth Chance Cal Poly San Luis Obispo arossmancalpolyedu bchancecalpolyedu 2 AMATYC webinar April 2016 2 Outline Who are you Overview motivation Three examples A. Kari Lock Morgan. Department of Statistical Science, Duke University. kari@stat.duke.edu. . with Robin Lock, Patti Frazer Lock, Eric Lock, Dennis Lock. ECOTS. 5/16/12. Hypothesis Testing:. Use a formula to calculate a test statistic. . and Randomization Procedures. Dennis Lock. Statistics Education Meeting. October 30, 2012. 1. An introductory statistics book writing with my family. Robin H. Lock (St. Lawrence). Patti F. Lock (St. Lawrence). Robin Lock. Burry Professor of Statistics. St. Lawrence University. 2015 Joint Statistics Meetings – Seattle, WA. August 2015. Simulation-Based Inference (SBI) Projects. Lock. 5. . lock5stat.com. Kari Lock Morgan, Penn State . Robin Lock, St. Lawrence University. Patti Frazer Lock, St. Lawrence University. USCOTS 2015. Overview. We use simulation-based methods to introduce the key ideas of inference. Kari Lock Morgan. Department of Statistical Science, Duke University. kari@stat.duke.edu. . with Robin Lock, Patti Frazer Lock, Eric Lock, Dennis Lock. ECOTS. 5/16/12. Hypothesis Testing:. Use a formula to calculate a test statistic. Department of Statistics. Penn State . University. USA. Making computing skills part of learning introductory stats. Royal Statistical Society. 10/13/16. ASA 2016 Recommendations for Intro Stat. GAISE: Guidelines . Robin Lock. Burry Professor of Statistics. St. Lawrence University. MAA Allegheny Mountain . 2014 Section Spring Meeting. Westminster College. The Lock. 5. Team. Dennis. Iowa State. Kari. Harvard/Duke. Starnes, Tabor, Yates, Moore . Bedford Freeman Worth Publishers. CHAPTER 5. Probability: What Are . the Chances?. 5.1. Randomness, Probability, . and Simulation. Learning Objectives. After this section, you should be able to:. Starnes, Tabor, Yates, Moore . Bedford Freeman Worth Publishers. CHAPTER 5. Probability: What Are . the Chances?. 5.1. Randomness, Probability, . and Simulation. Learning Objectives. After this section, you should be able to:. Experiences and . Assessments. eCOTS. 2012. Oded Meyer. Candace . Thille. Marsha Lovett. Carnegie . Mellon . University. The Effort: Carnegie Mellon. ’. s Open Learning Initiative (OLI) . Scientifically. Kari Lock Morgan, Penn State . Robin Lock, St. Lawrence University. Patti Frazer Lock, St. Lawrence University. USCOTS 2015. Overview. We use simulation-based methods to introduce the key ideas of inference. Robin Lock . Burry Professor of Statistics. St. Lawrence University. rlock@stlawu.edu. CAUSE Webinar- August 27, 2013. What is it?. Freely available at. lock5stat.com/. statkey. . Runs in (almost) any browser. . (August 2024 Cohort). OBJECTIVES. To complement the surgical learning of Year-5 KCL students doing clinical rotations at Eastbourne District General Hospital.. Identifying gaps in current surgical skills and knowledge of Year-5 KCL students through curriculum requirements and inputs from senior tutors.. eATLAS. Project. Elizabeth Fry and Rebekah . Isaak. University of Minnesota. eATLAS. funded by NSF DUE . 1044812 . & 1043141. . Overview. Principles of Curriculum Evaluation. Example: Evaluation of CATALST Project.