Ementa:
Estatística descritiva, amostragem (métodos e distribuições), estimadores, intervalos de confiança, testes de hipóteses, regressão linear simples e múltipla, análise de variância.

Bibliografia Principal:

  • BLACK, K. Business Statistics For Contemporary Decision Making, Wiley, 10th Edition, 2020.
  • McClave, J. T.; benson, P. G.; SINCICH, T. T. Statistics for Business and Economics, Global Edition. Pearson,13th Edition, 2018.
  • HAIR, J., C.BLACK, W., J.BABIN, B., & E.ANDERSON, R. (2010). Multivariate Data Analysis: Overview of Multivariate Methods.

Bibliografia Complementar:

  • AIN, N.; VAIA, G.; DELONE, W. H.; WAHEED, M. Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review. Decision Support Systems, v. 125, October, p. 113113, 2019.
  • CREADY, W. M.; HE, J.,;WENWEI, L.; SHAO, C.; WANG, D.; ZHANG, Y. Is There a Confidence Interval for That? A Critical Examination of Null Outcome Reporting in Accounting Research. Behavioral Research in Accounting, v. 34, n. 1, p. 43-72, 2022.
  • GRACE, J. B.; IRVINE, K. M. Scientist’s guide to developing explanatory statistical models using causal analysis principles. Ecology, v. 101, n. 4, e02962, 2019.
  • YANG, J.; XIU, P.; SUN, L.; YING, L.; MUTHU, B. Social media data analytics for business decision-making system to competitive analysis. Information Processing & Management, v. 59, n. 1, p. 102751, 2022.