摘要:

The explosion in the amount of data available to society today has not led to a corresponding growth in undergraduate statistics programs to produce statisticians to deal with such data. Instead, the profession is faced with the specter of “statistics departments under siege.” It is time to reexamine the undergraduate discipline in light of society's needs. The traditional emphasis on the mathematics of the discipline may have resulted in insufficient attention being paid to its nonmathematical aspects. These things are very much a part of what a practicing statistician does and what customers of statistics need. They include things like designing scientific studies in a team-oriented environment, ensuring protocol compliance, ensuring data quality, managing the storage/transmission/retrieval of data, and providing descriptive and graphical analyses of data. To bring greater purpose and practicality to programs for the undergraduate statistics major, it will be necessary to give greater prominence to nonmathematical statistics. Courses are suggested that would meet important needs of the undergraduate statistics major and set the discipline of statistics apart from mathematics.

ISSN:0003-1305    

DOI:10.1080/00031305.1999.10474418

出版商:Taylor & Francis Group    

年代:1999

数据来源: Taylor

摘要:

The main elements of continuous quality improvement (CQI) are considered. Suggestions are made how an individual and a department can use certain aspects of CQI for the improvement of our courses and programs. Partnerships with others are encouraged to help in these efforts. To improve the recruitment of students to the statistics profession, it is urged that a high level workshop be held to consider strengthening our undergraduate programs and beginning statistics courses.

ISSN:0003-1305    

DOI:10.1080/00031305.1999.10474419

出版商:Taylor & Francis Group    

年代:1999

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1999.10474420

出版商:Taylor & Francis Group    

年代:1999

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1999.10474421

出版商:Taylor & Francis Group    

年代:1999

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1999.10474422

出版商:Taylor & Francis Group    

年代:1999

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1999.10474423

出版商:Taylor & Francis Group    

年代:1999

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1999.10474424

出版商:Taylor & Francis Group    

年代:1999

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1999.10474425

出版商:Taylor & Francis Group    

年代:1999

数据来源: Taylor

摘要:

In an influential article in the February 1973 issue ofThe American StatisticianFrank Anscombe remarked that “[m]ost textbooks on statistical methods, and most statistical computer programs, pay too little attention to graphs.” This general observation no longer holds. Graphs of data are everywhere. Our children learn to draw and use bar charts in kindergarten and boxplots in the elementary grades; most newspapers and magazines regularly use graphical representation of data, and nearly all books on statistical methods use graphs. Graphs can be drawn in statistical packages, in spreadsheet programs, and in stand-alone graphics packages. Statisticians often bemoan the poor construction of the graphs produced, but even when the construction is adequate, graphs can be of little value. In this article, we argue that useful graphs must have acontextinduced by associated theory, and that a graph without the well-understood statistical context is hardly worth drawing.

ISSN:0003-1305    

DOI:10.1080/00031305.1999.10474426

出版商:Taylor & Francis Group    

年代:1999

数据来源: Taylor

摘要:

A predictor sort experiment is one in which experimental units are allocated on the basis of the values of a predictor variable that is correlated with the response. Standard ANOVA analyses of predictor sort experiments can lead to confidence intervals whose actual coverages are poor matches to nominal coverages. Correct coverages can be obtained by adjusting confidence interval lengths by appropriate factors, or by performing analyses of covariance.

ISSN:0003-1305    

DOI:10.1080/00031305.1999.10474427

出版商:Taylor & Francis Group    

年代:1999

数据来源: Taylor