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Teaching the Next Generation of Statistics Students to “Think With Data”: Special Issue on Statistics and the Undergraduate Curriculum

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  • Nicholas J. Horton
  • Johanna S. Hardin

Abstract

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Suggested Citation

  • Nicholas J. Horton & Johanna S. Hardin, 2015. "Teaching the Next Generation of Statistics Students to “Think With Data”: Special Issue on Statistics and the Undergraduate Curriculum," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 259-265, November.
    • Handle: RePEc:taf:amstat:v:69:y:2015:i:4:p:259-265
    DOI: 10.1080/00031305.2015.1094283
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    Cited by:

    1. Roger W. Hoerl & Ronald D. Snee, 2017. "Statistical Engineering: An Idea Whose Time Has Come?," The American Statistician, Taylor & Francis Journals, vol. 71(3), pages 209-219, July.
    2. Alexander B. Sibley & Zhiguo Li & Yu Jiang & Yi-Ju Li & Cliburn Chan & Andrew Allen & Kouros Owzar, 2018. "Facilitating the Calculation of the Efficient Score Using Symbolic Computing," The American Statistician, Taylor & Francis Journals, vol. 72(2), pages 199-205, April.
    3. Nicholas Jon Horton, 2016. "Discussion: Making Progress in a Crowded Market," International Statistical Review, International Statistical Institute, vol. 84(2), pages 179-181, August.
    4. Constance H. McLaren & Bruce J. McLaren, 2018. "SCOTS: The Searchable Collection of Time Series," INFORMS Transactions on Education, INFORMS, vol. 19(1), pages 12-22, September.
    5. Amy L. Phelps & Kathryn A. Szabat, 2017. "The Current Landscape of Teaching Analytics to Business Students at Institutions of Higher Education: Who is Teaching What?," The American Statistician, Taylor & Francis Journals, vol. 71(2), pages 155-161, April.

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