Teaching Statistical Inference Through a Conceptual Lens: A Spin on Existing Methods with Examples

References

• Agresti, A., Franklin, C., and Klingenberg, B. (2017), Statistics: The Art and Science of Learning from Data, Fourth Edition, Pearson, Boston.
   Google Scholar
• Agresti, B., and Coull, B. A. (1998), “Approximate is Better than Exact for Interval Estimation of Binomial Proportions,” The American Statistician, 52, 119–126. DOI: 10.1080/00031305.1998.10480550.
   Web of Science ®Google Scholar
• Blair, R., Kirkman, E. E., and Maxwell, J. W. (2018), Statistical Abstract of Undergraduate Programs in the Mathematical Sciences in the United States, Fall 2015 CBMS Survey, The American Mathematical Society, available at https://www.ams.org/profession/data/cbms-survey/cbms2015-Report.pdf.
   Google Scholar
• Bluman, A. G. (2019), Elementary Statistics, a Step by Step Approach (8th ed.), New York: McGraw Hill.
   Google Scholar
• Blyth, C., and Still H. (1983), “Binomial Confidence Intervals,” Journal of the American Statistical Association, 78, 108–116. DOI: 10.1080/01621459.1983.10477938.
   Web of Science ®Google Scholar
• Casella, G., and Berger, R. L. (2002), Statistical Inference, Pacific Grove: Duxbury.
   Google Scholar
• Chance, B., and Rossman, A. (2001), “Sequencing Topics in Introductory Statistics: A Debate on What to Teach When,” The American Statistician, 55, 140–144. DOI: 10.1198/000313001750358626.
   Web of Science ®Google Scholar
• Clopper, C. J., and Pearson, E. S. (1934), “The Use of Confidence or Fiducial Limits Illustrated in the Case of the Binomial,” Biometrika, 26, 404–413. DOI: 10.1093/biomet/26.4.404.
   Web of Science ®Google Scholar
• Cobb, G. (2006), “Characterizations of Exemplary Statistics Instructions: Five Approaches.” Journal of Statistics Education, 14, 1–13.
   Google Scholar
• Cobb, G. (2015), “Mere Renovation is Too Little Too Late: We Need to Rethink Our Undergraduate Curriculum from the Ground Up,” The American Statistician, 69, 266–282. DOI: 10.1080/00031305.2015.1093029.
   Web of Science ®Google Scholar
• De Veaux, R. D., Vellman, P. F., and Bock (2018), Intro Stats (5th ed.), Boston: Pearson.
   Google Scholar
• Diez, D., Cetinkaya-Rundel, M., and Barr, C. D. (2019), OpenIntro Statistics, Openintro.org, available at https://www.openintro.org/book/os.
   Google Scholar
• GAISE. (2005), Guidelines for Assessment and Instructions in Statistics Education. PreK-12 and College Report. Alexandria, VA: American Statistical Association.
   Google Scholar
• GAISE College Report ASA Revision Committee. (2016), Guidelines for Assessment and Instruction in Statistics Education College Report 2016. Available at http://www.amstat.org/education/gaise.
   Google Scholar
• Gould, R., Ryan C., and Wong, R. (2016), Essential Statistics: Exploring the World Through Data, Boston: Pearson.
   Google Scholar
• Hawkes, J. S. (2019), Discovering Statistics and Data (3rd ed.), Mt Pleasant, SC: Hawkes Learning.
   Google Scholar
• Johnson, R. A., and Gouri K. B. (2019), Statistics: Principles and Methods, Hoboken, NJ: Wiley.
   Google Scholar
• Lock, R. H., Lock, P. F., Lock, K., Lock, E. F., and Lock, D. F. (2021), Statistics: Unlocking the Power of Data, New York: Wiley.
   Google Scholar
• Mann, P. S. (2021), Introductory Statistics (10th ed.), New York: Wiley.
   Google Scholar
• McClave, J., and Sincich, T. (2017), Statistics (13th ed.), Boston: Pearson.
   Google Scholar
• Moore, D. S., Not, W. I., and Fligner, M. A. (2021a), The Basic Practice of Statistics (9th ed.), New York: W. H. Freeman and Company.
   Google Scholar
• Moore, D. S., Not, W. I., and Fligner, M. A. (2021b), Introduction to the Practice of Statistics (10th ed.), New York: W. H. Freeman and Company.
   Google Scholar
• National Academies of Science, Engineering, and Medicine. (2018), Data Science for Undergraduates: Opportunities and Options, National Academies. Available at https://nap.nationalacademies.org/read/25104.
   Google Scholar
• Navidi, W., and Monk, B. (2022a), Elementary Statistics (4th ed.), New York: McGraw Hill.
   Google Scholar
• Navidi, W., and Monk, B. (2022b), Essential Statistics (3rd ed.), New York: McGraw Hill.
   Google Scholar
• Peck, R., Short, T., and Olsen, C. (2020), Statistics & Data Analysis (6th ed.), Boston: Cengage Learning.
   Google Scholar
• Quinton N. S., Hawkes, J. S. (2022), Discovering Business Statistics (2nd ed.), Mt Pleasant, SC: Hawkes Learning.
   Google Scholar
• Robinson, S. (2020), “Mixing It up: The Impact of Resequencing Topics in an Undergraduate Introductory Statistics Course,” PRIMUS, 30, 415–446. DOI: 10.1080/10511970.2019.1600178.
   Google Scholar
• Rosner, B. (2016), Fundamentals of Biostatistics, Boston: Cengage Learning.
   Google Scholar
• Tintle, N., Chance, B. L., Cobb, G. W., Rossman, A. J., Roy, S., Swanson, T., and VanderStoep, J. (2021), Introduction to Statistical Investigations, New York: Wiley.
   Google Scholar
• Triola, M. F. (2022), Elementary Statistics (4th ed.), Boston: Pearson.
   Google Scholar
• Warren, C., Denley, K., and Atchley, E. (2021), Beginning Statistics (3rd ed.), Mt Pleasant, SC: Hawkes Learning.
   Google Scholar