Introduction to Statistical Investigations by Nathan Tintle Read Online

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Winner of MAA's 2018
Daniel Solow Author's Award

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Introduction to Statistical Investigations is an introductory statistics text developed at Hope College, Dordt College, Cal Poly, and Mount Holyoke and the offset edition is bachelor from John Wiley & Sons. (Text Website at Wiley)

The text differs from traditional texts in both content and didactics.  Statistical inference is introduced using simulation-based methods in Chapter 1.  This allows students to intuitively sympathise the process of inference from the very outset of their course. Concepts of statistical inference are and then explored for the entire text instead of only the last half of many traditional texts. Students are actively engaged in the textile through numerous activities in which they flip coins, draw cards, collect data, do estimator simulations and run experiments.  Computer simulations are done with freely available applets.  (See Efficacy Flyer for information on student functioning.)

We are currently working on an assessment initiative of our curriculum, other randomization curriculums, and more than traditional introductory statistics curriculums. This assessment will include pre- and mail service- concepts and attitudes assessments besides equally mutual test questions. Nosotros are looking for participants and non-users of our curriculum are especially needed. Our goals are to make up one's mind what works, what doesn�t, comparisons by institution, instructor, style, etc.  If you participate you will receive Individualized instructor reports to larn near your own students outcomes.

For more than information about our curriculum or participation in our assessment efforts described above contact Nathan Tintle at nathan.tintle@dordt.edu.

Workshops since 2014

• January xiv, 2014: Baltimore, Maryland, JMM
  
• May 22, 2014: eCOTS (this online workshop was recorded and is bachelor to view)
  
• May 29, 2014: Dordt Higher, Sioux Center, Iowa.  Preconference Workshop at the Bang-up Plains R User Group Conference
  
• May 30-31, 2014: Trinity Christian College, Palos Heights, Illinois.
• June 24-27, 2014: Cal Poly, San Luis Obispo, California. MAA PREP Workshop.
• July xix, 2014; Flagstaff, Arizona, ICOTS.
• August two, 2014: Boston, Massachusetts, JSM
• Nov one, 2014: Butler University, Indianapolis, IN (following the NCTM conference)
• Jan  9, 2015: San Antonio, Texas, JMM
• March 6-vii, 2015: Mesa, Arizona
  
• May 26-28, 2015: Penn Country, State College, PA, USCOTS
• July vii-ix, 2015: Atlanta, Georgia
  
• July 14-17, 2015: Hollins University, Roanoke, VA, MAA-PREP Workshop
• January 5, 2016: Seattle, WA, JMM
• Apr 7, 2016: AMATYC Webinar
  
• May 17, 2016: eCOTS
• June four and five, 2016: Philadelphia, PA
  
• July 30, 2016, Joint Statistical Meetings pre-workshop, Chicago, IL
  
• Baronial v-6, 2016: Columbus, Ohio, MAA MathFest
• Nov 16, 2016: Pre-workshop for AMATYC, Denver, CO
• Feb iv, 2017: Cuesta College in San Luis Obispo, CA
• Feb 11, 2017: Ventura College in Ventura, CA
• April 6-7, 2017: Illinois Mathematics Clan of 2-Twelvemonth Colleges, University of Illinois
• May 17-18, 2017: Pre-USCOTS workshop, Penn State University
• May 31, 2017: ACMS, Charleston, SC
• June 11, 2017: Statistical Society of Canada, Winnipeg, Manatoba
• July 5-7, 2017: Atlanta, Georgia
• July 27 and 29, 2017: Minicourse at Mathfest, Chicago, IL

Papers written by the authors nearly our curriculum

• "Assessing the Association Between Precourse Metrics of Student Preparation and Student Performance in Introductory Statistics: Results from Early on Information on Simulation-Based Inference vs. Nonsimulation-Based Inference", Periodical of Statistics Education (2018), Winner of 2019 JSE best paper award
  
• �Student Gains in Conceptual Understanding in Introductory Statistics with and without a Curriculum Focused on Simulation-Based Inference,� Proceedings from the 10th International Conference on Teaching Statistics. (2018)
• �Assessing Memory of Statistical Concepts after Completing a Post-Secondary Introductory Statistics Course,� Proceedings from the 10th International Conference on Education Statistics. (2018)
• �Can a Simulation-Based Inference Course be Flipped?� Proceedings from the 10th International Conference on Education Statistics. (2018)
• �Finding Pregnant in a Multivariable World: A Conceptual Approach to an Algebra-Based Second Course in Statistics,� Proceedings from the 10th International Conference on Teaching Statistics. (2018)
• �Assessing Simulation-Based Inference in Secondary Schools,� Proceedings from the 10th International Conference on Education Statistics. (2018)
• �Assessing the Association betwixt Quantitative Maturity and Pupil Performance in an Introductory Statistics Class: Simulation vs. Not-Simulation-Based,� Proceedings from the 10th International Conference on Teaching Statistics. (2018)
• �Development of a Tool to Assess Students� Conceptual Agreement in Introductory Statistics,� Proceedings from the 10th International Conference on Teaching Statistics. (2018)
  
• "Pupil Performance in Curricula Centered on Simulation-Based Inference: A Preliminary Report," Periodical of Statistics Teaching (2017)
  
• "Broadening the Impact and Evaluating the Effectiveness of Simulation-based Curricula for Introductory Statistics," Proceedings of the TUES/AAAS PI�south briefing. Washington, DC. (2016)
• "Combating anti-statistical thinking through the use of simulation-based methods throughout the undergraduate curriculum,"  The American Statistician (2015)
• "Challenging the land of the fine art in postintroductory statistics: grooming, concepts and pedagogy," Proceedings of the Globe Congress on Statistics (2014)
• "Using simulation/randomization to introduce p-value in week one," Proceedings from the 9th International Conference on Pedagogy Statistics (2014)
• "Quantitative evidence for the employ of simulation and randomization in the introductory statistics form," Proceedings from the 9th International Briefing on Teaching Statistics (2014)
• "Bear on of a simulation/randomization-based curriculum on student understanding of p-values and confidence intervals," Proceedings from the ninth International Briefing on Didactics Statistics (2014)
• "Educatee attitudes toward statistics from a randomization-based curriculum," Proceedings from the 9th International Conference on Education Statistics (2014)
• "Using simulation-based inference for learning introductory statistics," WIREs Computational Statistics (2014)
  
• "Memory of statistical concepts in a preliminary randomization-based curriculum," Statistics Education Research Periodical (2012)
• "Evolution and cess of a preliminary randomization-based introductory statistics curriculum," Journal of Statistics Education (2011) (Winner of All-time JSE Newspaper Award)

Whatever opinions, findings, and conclusions or recommendations expressed in this fabric are those of the author(s) and do non necessarily reflect the views of the National Science Foundation.

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