PPT-Using Simulation to Introduce Concepts of Statistical Infer

Allan Rossman Cal Poly San Luis Obispo arossmancalpolyedu httpstatwebcalpolyeduarossman Advertisement I will present a longer more interactive version of this in a workshop on Saturday afternoon in Lincoln room. STATISTICAL METHODOLOGY USED BY THE SIMULATION MANAGER Simulation Manager th i 1M j 1K l w j M j 1M th Simulation Manager N j 1N Simulation Manager Simulation Manager P brPage 3br Simulation Manager P Simulation Manager j 1M k 1K k i j The Outsiders. Foreshadowing (5) =. “And . Johnny, who was the most law-abiding of us, now carried in his back pocket a six-inch switchblade. He’d use it, too, if he ever got jumped again. They had scared him that much. He would kill . Q2014 . european. conference on quality in official . statistics. Special session: Consistency of Concepts and Applied Methods in Business Statistics. . Norbert Rainer, . Josef Richter Vienna, June 2014 . Building software with intelligence. John Winn and John Guiver. Microsoft Research, Cambridge, UK. VTL03. Intelligent Software. Search result?. Word?. Who’s the best?. Clicks. Gestures. Game results. probabilistic programming. John Winn. 30. th. June 2010. How can . I write smart software?. How can . I do smart data analysis?. Revise model/method. Why probabilistic programming?. Define . model. Choose . Reva . Narasimhan. Associate Professor of Mathematics . Kean University, . NJ. www.mymathspace.net/presentations. Overview. Introduction . Why functions?. Challenges in teaching . the function concept. Systematicity. Paul M. Pietroski. University of Maryland. Dept. of Linguistics, Dept. of Philosophy. Origins of Propositional Thought. What are Thoughts? . What a Propositional (or non-Propositional) Thought?. Patti Frazer Lock Kari Lock Morgan. Cummings Professor of Mathematics Assistant Professor of the Practice. St. Lawrence University Duke University. AMATYC. November, 2012. The Lock. 5. Examine the concepts of normality . and abnormality. What is normal . behaviour. ?. In pairs or small groups discuss examples of . behaviour. that is normal, and . behaviour. that is abnormal.. Examine the concepts of normality . Patti Frazer Lock Kari Lock Morgan. Cummings Professor of Mathematics Assistant Professor of the Practice. St. Lawrence University Duke University. AMATYC. November, 2012. The Lock. 5. I used the I do, we do, partners do, you do model.. I do (slides 7-9), . W. e do (slide 10), . P. artners do (slide 11), . Y. ou do (12-13). . Please see the notes at the bottom of each slide for further explanation. . assume . guess. come to the conclusion. suspect. All of these are inferences; to infer is the same thing as to assume, guess, conclude, or suspect.. When you look at information, you can INFER (assume, guess, come to the conclusion, suspect) things that are not plainly stated or shown. . Patti Frazer Lock Kari Lock Morgan. Cummings Professor of Mathematics Assistant Professor of the Practice. St. Lawrence University Duke University. AMATYC. November, 2012. The Lock. 5. in a user-friendly manner. Workshop title. Location and Date. Session outline. Indicators, variables and populations. Proportions and percentages. Ratios. Rates. Practical activity. Skills for understanding statistics.