01562nas a2200181 4500008003900000245004300039210004300082260005500125520091400180653001601094653001201110653002001122653001501142100001801157700002101175700002001196856016401216 2000 d00aResponsible Use of Statistical Methods0 aResponsible Use of Statistical Methods bNorth Carolina State University at Raleighc4/20003 aResponsible Use of Statistical Methods focuses on good statistical practices. In the Introduction we distinguish between two types of activities; one, those involving the study design and protocol (a priori) and two, those actions taken with the results (post hoc.) The authors note that right practice is right ethics, the distinction between a mistake and misconduct and emphasize the importance of how the central hypothesis is stated. The Central Essay, Identification of Outliers in a Set of Precision Agriculture Experimental Data by Larry A. Nelson, Charles H. Proctor and Cavell Brownie, is a good paper to study. The Applied Ethics section focuses on objectivity and trustworthiness; we note that the misuse of statistics may be more widespread than misconduct. The tutorial has two Central Theme sections; 1) on setting up statistically rigorous hypothesis, and 2) on statistics and data management.10aENGINEERING10aSCIENCE10aSOCIAL sciences10aSTATISTICS1 aNelson, Larry1 aProctor, Charles1 aBrownie, Cavell uhttp://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1300&context=esence&sei-redir=1#search=%22Responsible%20Use%20Statistical%20Methods%20Scholarworks%22