Rice Virtual Lab in Statistics: Sampling Distribution Simulation David M. Lane Rice University Merlot International Conference.

Slides:



Advertisements
Similar presentations
Evo-Ed: A Case-based Approach to Teaching Evolution Peter White, Merle Heidemann, and Jim Smith Michigan State University East Lansing, MI USA.
Advertisements

Retention of Undergraduate Engineering Students: Extending Research Into Practice Susan Staffin Metz, Co-PI Stevens Institute of Technology PI: Suzanne.
INTRODUCTION: Biological systems are characterized by significant heterogeneity at multiple scales. The fine scale (local scale) heterogeneity often has.
Detecting Prosody Improvement in Oral Rereading Minh Duong and Jack Mostow Project LISTEN Carnegie Mellon University The research.
Lesson #17 Sampling Distributions. The mean of a sampling distribution is called the expected value of the statistic. The standard deviation of a sampling.
C82MCP Diploma Statistics School of Psychology University of Nottingham 1 Overview Central Limit Theorem The Normal Distribution The Standardised Normal.
Funded by a grant from the National Science Foundation. Any opinions, findings, conclusions or recommendations expressed are those of the authors and do.
Standardized Testing (1) EDU 330: Educational Psychology Daniel Moos.
Finding Internet Resources for Teaching Statistics Using CAUSEweb Ginger Holmes Rowell, Ph. D. Middle Tennessee State University Roundtable Luncheon August.
1 An Application of the Action Research Model for Assessment Preliminary Report JSM, San Francisco August 5, 2003 Tracy Goodson-Espy, University of AL,
Copyright © 2013 Pearson Education, Inc. All rights reserved Chapter 6 Sampling Distributions.
Some On-Line Applets and How They Can Be Used Dr. Bruce Dunham Department of Statistics.
Applying Open Source to Open Science Ray Idaszak Director, Collaborative Environments RENCI, University of North Carolina at Chapel Hill.
Elizabeth DeBartolo, Ph.D.Date Associate Professor, Mechanical Engineering Certificate of Completion is hereby granted to [Name Here] to certify that she.
Numerical Methods Part: Simpson Rule For Integration.
+ Heat Transfer Picture Presentation TEAK – Traveling Engineering Activity Kits Partial support for this project was provided by the National Science Foundation's.
Numerical Methods Continuous Fourier Series Part: Continuous Fourier Series
Determination of Sample Size: A Review of Statistical Theory
11/17/ Introduction to Partial Differential Equations Transforming Numerical.
The use of statistics in psychology. statistics Essential Occasionally misleading.
Backwards Design STEP 1: Agree on the overarching science concept of the 5E sequence STEP 2: Design the Evaluate and decide what evidence students will.
NanoDays nisenet.org. Presentation Overview Intro to NanoDays NanoDays nationwide Our NanoDays event Engaging the public in nano What is nano? NanoDays.
Stephanie Long Science Live, Director Science Museum of Minnesota
Compare the following heights in inches: BoysGirls
Updated September 2011 Medical Applications in Nanotechnology Nano Gold Sensors Lab.
Systems Realization Laboratory The Role and Limitations of Modeling and Simulation in Systems Design Jason Aughenbaugh & Chris Paredis The Systems Realization.
Psychology 202a Advanced Psychological Statistics September 10, 2015.
1 CHAPTER 6 Sampling Distributions Homework: 1abcd,3acd,9,15,19,25,29,33,43 Sec 6.0: Introduction Parameter The "unknown" numerical values that is used.
Chapter 5 Sampling Distributions. The Concept of Sampling Distributions Parameter – numerical descriptive measure of a population. It is usually unknown.
Sampling Theory and Some Important Sampling Distributions.
Product Project Prototype Standards 2P, Q 9F, H This material is based upon work supported by the National Science Foundation under Grant No
2/13/ Elliptic Partial Differential Equations - Introduction Transforming.
1 Virtual COMSATS Inferential Statistics Lecture-4 Ossam Chohan Assistant Professor CIIT Abbottabad.
Leader Interviews Name, PhD Title, Organization University This project is funded by the National Science Foundation (NSF) under award numbers ANT
What are my next steps? Incorporating universal design into your own work and advocating for accessibility in your own institution NISE Net Universal Design.
Prototyping Brian Nettleton This material is based upon work supported by the National Science Foundation under Grant No Any opinions, findings.
 Wind Power TEAK – Traveling Engineering Activity Kits Partial support for the TEAK Project was provided by the National Science Foundation's Course,
Numerical Methods Multidimensional Gradient Methods in Optimization- Example
Funded by a grant from the National Science Foundation. Any opinions, findings, conclusions or recommendations expressed are those of the authors and do.
Do Now #5: Normal Distributions Suppose the mean weight (in pounds) of a newborn elephant is 200 pounds with a standard deviation of 23 pounds. (Lesson.
Central Limit Theorem Section 5-5
Using Video-Annotated Peer Review to Support the Diffusion of
Project Access: About DeafTEC
Anselma Hartley, R.Michael Furr, Kassidy Velasquez, William Fleeson
Initial Findings about Graduate Teaching Assistants’ Training Needs to Foster Active Learning in Statistics Kristen E. Roland and Jennifer J. Kaplan.
From: Statistics for optimal point prediction in natural images
Discussion and Conclusion
Written by: Jennifer Doherty, Cornelia Harris, Laurel Hartley
Session 2:50 PM - 4:20 PM; Saturday, Nov 18, 2017
Critical - thinking Assessment Test (CAT)
Elliptic Partial Differential Equations – Direct Method
Nanotechnology & Society
Title of Poster Site Visit 2017 Introduction Results
People Who Did the Study Universities they are affiliated with
Title of session For Event Plus Presenters 12/5/2018.
Powers of 10 Poster with animation
Supporting Material for the Biodiversity Teaching Experiment
Elliptic Partial Differential Equations – Gauss-Seidel Method
Numerical Methods Newton’s Method for One -Dimensional Optimization - Example
Myers Chapter 1 (F): Statistics in Psychological Research: Measures of Central Tendency A.P. Psychology.
Time Trend of PTA Membership and Organizational Presence Source: Authors’ calculations updating Theda Skocpol’s data on PTA membership to 2017 and including.
Bivariate Loess Plots of School Demographic Composition and PTA Presence Source: Authors’ calculations using the National Center for Charitable Statistics,
Full Path Model of Urbanicity’s Links to Achievement.
Title of Poster Site Visit 2018 Introduction Results
LabVenture! Redesigning to Maximize Transfer Inside/Outside School
This material is based upon work supported by the National Science Foundation under Grant #XXXXXX. Any opinions, findings, and conclusions or recommendations.
Project Title: I. Research Overview and Outcome
Table 1. Summary Statistics of Top Cut 1-m Samples
Elementary School PTAs by Local Free Lunch Participation Rates, North Carolina Research Triangle, 2015 Source: Author-generated map using the National.
Title of Poster Usually Up Top (Recommend 80pt – 115 pt)
Presentation transcript:

Rice Virtual Lab in Statistics: Sampling Distribution Simulation David M. Lane Rice University Merlot International Conference New Orleans, LA, August 9, 2007 onlinestatbook.com/ onlinestatbook.com/rvls onlinestatbook.com/stat_sim/sampling_distrvls onlinestatbook.co

Acknowledgments Partial support for this work was provided by the National Science Foundation's Division of Undergraduate Education through grant DUE Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Other Contributors to the RVLS Project: David Scott Jan Benway Joan Lu Zhihua Tang Al Shea Mickey Quiñones Keith Baggerly Joe Austin Michael Swartz Richard Swartz

Introducing Sampling Distributions

Animation

Five More Means Added

10,000 More Means Added

Sampling Distribution of the Median

Sampling Distribution of the Standard Deviation

How Does Sample Size Affect the Standard Error of the Mean?

Effect of Sample Size on the Standard Error of the Mean

Assessing Bias: Sample Mean

Assessing Bias: Sample Mean Uniform Distribution

Assessing Bias: Sample Mean Skewed Distribution

Assessing Bias: Sample Mean Odd Distribution

Assessing Bias: Standard Deviation

Assessing Bias: Variance

Sampling Fluctuation: Comparing Mean and Median

Central Limit Theorem

Comparing Distributions

Ways of using the simulations In class Computer lab Homework Make students active Spoon feeding can make students feel good but not learn much Require students to anticipate results before they are presented Spoon feeding is often ineffective Teaching Tips

Evaluation Lane, D. & Tang, Z. (2000) Effectiveness of a simulation on transfer of statistical concepts. Journal of Educational Computing Research, 22, Ziemer, H. & Lane, D. (2000) Evaluating the Efficacy of the Rice University Virtual Statistics Lab. Poster presented at the 22nd Annual Meeting of the National Institute on the Teaching of Psychology, St. Petersburg Beach, FL.

Case Study: Smiling and Leniency

Analysis Lab

Thank You!!