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A Simulation of Sample Variance Calculation in the Teaching of Business Statistics to English Majors

In: Recent Developments in Data Science and Business Analytics

Author

Listed:
  • Shili Ge

    (School of English for International Business, Guangdong University of Foreign Studies
    Collaborative Innovation Center for Language Research and Service, Guangdong University of Foreign Studies)

  • Rou Yang

    (School of Interpreting and Translation Studies, Guangdong University of Foreign Studies)

  • Xiaoxiao Chen

    (School of English for International Business, Guangdong University of Foreign Studies)

Abstract

Variance is important for statistical description of a data set. Yet, the denominator of (n–1) in sample variance calculation confuses many Business English learners of statistics. In order to give learners an impressive instruction, a statistical simulation of population and sample variance calculation is designed with self-code Python program. The experimental simulation shows that the sample variances calculated with divisor of (n–1) are averagely closer to population variance than with n. The latter underestimates the population variance. The simulation offers an important explanation for statistics learners and can help them learn business statistics better.

Suggested Citation

  • Shili Ge & Rou Yang & Xiaoxiao Chen, 2018. "A Simulation of Sample Variance Calculation in the Teaching of Business Statistics to English Majors," Springer Proceedings in Business and Economics, in: Madjid Tavana & Srikanta Patnaik (ed.), Recent Developments in Data Science and Business Analytics, chapter 0, pages 361-366, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-72745-5_40
    DOI: 10.1007/978-3-319-72745-5_40
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