Top Research Papers on Statistics

Nearly everybody is concerned with statistics, even in daily life you can see statistics everywhere. So the question arises, if people do understand those basic statistics. Also the difficulties that many students encounter in basic statistic courses are well known and have been widely reported. The results for 2001 and 2003 were presented before, so we can compare the results with the results of the new samples.

Three core components in developing children’s understanding and appreciation of data — establish a context, pose and answer statistical questions, represent and interpret data — lay the foundation for the fourth component: use data to enhance existing context.

information on student characteristics and students’ and parents’ estimates of tuition and fees. The later waves provide measures of such outcomes as students’ perceptions of college affordability and their plans for postsecondary education.

SUMMARY ZUSAMMENFASSUNG A profile is sketched of engineering statistics by contrasting it with statistics courses for students of mathematics on one hand, and for social science students on the other. Aspects which play a role comprise level of abstraction, amount of technical detail and choice of subjects. A brief outline is given of feasible forms and contents of statistics courses for engineers. Special attention is devoted to the nature of exercises suitable in this context. Questions addressed concern the degree of adaptation to the student's own field of study and the (dis)advantage of e...

The papers collected in this volume share a concern with the problem of authority in the university-its changing bases, uses, emergent forms, and prospects. On the one hand, the relation of the university to society is changing; on the other hand, the internal constitution, the character of the university, is also changing. The main question is: Can a form of authority be found which will at once accommodate these changes and insure the freedom essential to teaching, learning, innovation, and communication? The authors offer no easy answers.

It is pointed out that Big Data is a new stage of statistics development and statistical regularity has been investigated in this work.

One might think that there is a simple answer to the question posed in the title of the form “Statistics is….” Sadly, there is not, although many contemporary statistical authors have attempted to answer the question. This article captures the essence of some of these efforts, setting them in their historical contexts. In the process, we focus on the cross-disciplinary nature of much modern statistical research. This discussion serves as a backdrop to the the aims of the Annual Review of Statistics and its Application, which begins publication with the present volume.

The technologist is not concerned with truth at all; he has to manage with as much truth as is available to him, with the scientific theories current in his time, and if these are subsequently proved to be untrue, he must still do the best he can.

J and Carlos, two ecology professors at Enormous State University, are passing the line of graduate students waiting to see Kai, the statistician. “Ah, spring”, says Jane, “when a young grad student’s fancy turns to ANOVAs and Bonferroni corrections”. Like many institutions, ESU’s ecology program regularly advises students to consult with a statistician to help with experimental design and data interpretation. Of course, the students also have to take a couple of stats courses, but most admit that at the end of they still feel pretty shaky about statistics. As a result, nearly all of the stude...

Definitions of statistics abound but many fail to capture adequately the essential interplay of data and theory. It is argued that the ubiquity of variability and uncertainty, which characterize a statistical problem, establish the subject as a major player in science and all rational enquiry. Emphasis is placed on the breadth and unity of the subject and questions are raised for the Royal Statistical Society about its balance, publications and role in education

1 Understand why we study statistics. 2 Explain what is meant by descriptive statistics and inferential statistics. 3 Distinguish between a qualitative variable and a quantitative variable. 4 Distinguish between a discrete variable and a continuous variable. 5 Distinguish among the nominal, ordinal, interval, and ratio levels of measurement. 6 Define the terms mutually exclusive and exhaustive.

We use our experience in neuroscience as a source of defining issues for the discipline of statistics. We argue that to remain vibrant, the field must open up by taking a less restrictive view of what constitutes statistical training.

In 1993 the Statistics Department at Iowa State University entered into a collaborative agreement with General Motors to develop and deliver a new sequence of courses titled “Applied Statistics for Industry.” This paper describes the development and content of these courses as well as their method of delivery. In order to accommodate on campus students as well as students at a distance, the course is presented live at Iowa State University and by videotape delay at General Motors Technical Education sites in Michigan, Ohio, Arizona and Mexico, and across the country at sites of other partner i...

The Department of Statistics offers undergraduate service courses and an undergraduate minor, as well as graduate courses and programs leading to the MA, MS, and PhD degrees or to a minor for an advanced degree in other fields. Students planning to major in statistics at the graduate level should have a minimum of mathematics through multivariable calculus, linear algebra, and an upper-division sequence in mathematical statistics.

Students considering graduate study in statistics or related fields are encouraged to discuss their programs with the Departmental Adviser for Majors at an early stage, whether or not they plan to receive an undergraduate degree in Statistics.

In attempting to use this column for statistical information that is both informative and topical, the editors find a dearth of relevant data to be a major stumbling block.

Statistics is one of the natural, mathematical, and biomedical sciences programs in the Columbian College of Arts and Sciences. The curriculum emphasizes the important role of statistics as it provides methodologies for making advances in medicine, genetics, and other research arenas and supports decision making in business and public policy. Students learn reasoning skills and methods for analyzing and understanding data and how these skills can be applied to develop new initiatives.

The Statistics Program offers biostatistics, statistics, data science and probability courses for the entire university community along with traditional degree programs and individually designed degree programs emphasizing statistics applied to other fields. The degree programs are designed primarily for students who plan careers in data science, business, actuarial science, industry, and government or advanced training in disciplines that make extensive use of statistical methods and data science. The program faculty is deeply involved in consulting and collaborative research in a wide variet...

purpose outcomes of random phenomena. Random variables and their expectations are studied including means and variances of linear combinations and an introduction to conditional expectation. Binomial, Poisson, normal, and other standard probability distributions are considered. Some probability models are studied mathematically, and others are studied via computer simulation. Sampling distributions and related statistical methods are explored mathematically, studied via simulation, and illustrated on data. Methods include, but are not limited to, inference for means and proportions for one- an...

The department offers the Bachelor of Science degree with a major in statistics. The program provides a strong basis in both applied and theoretical statistics and prepares a student for the pursuit of graduate study in statistics or for employment by industry or government. In addition, the department serves many of the disciplines within the University through course offerings which provide basic statistical skills necessary to the pursuit of studies in these disciplines.