Statistics applied to chemistry: ten common doubts

Química Nova

Bruns, Roy Edward¹  Universidade Estadual de Londrina, Londrina, Brasil¹  Scarminio, Ieda Spacino¹  Passari, Livia Maria Zambrozi Garcia¹  Universidade Estadual de Campinas, Campinas, Brasil¹  Soares, Patricia Kaori¹ 

关键词: linear regression;    median;    non-parametric statistics.;   

DOI  :  10.1590/S0100-40422011000500028

学科分类：化学（综合）

来源: Sociedade Brasileira de Quimica

【 摘 要 】

Ten common doubts of chemistry students and professionals about their statistical applications are discussed. The use of the N-1 denominator instead of N is described for the standard deviation. The statistical meaning of the denominators of the root mean square error of calibration (RMSEC) and root mean square error of validation (RMSEV) are given for researchers using multivariate calibration methods. The reason why scientists and engineers use the average instead of the median is explained. Several problematic aspects about regression and correlation are treated. The popular use of triplicate experiments in teaching and research laboratories is seen to have its origin in statistical confidence intervals. Nonparametric statistics and bootstrapping methods round out the discussion.

【 授权许可】

Unknown