Literature Index

Displaying 2591 - 2600 of 3326
  • Author(s):
    Meletiou-Mavrotheris, M., & Lee, C.
    Editors:
    Batanero, C., & Joliffe, F.
    Year:
    2002
    Abstract:
    The article argues that the persistence of student difficulties in reasoning about the stochastic, despite significant reform efforts, might be the result of the continuing impact of the formalist mathematical tradition, affecting instructional approaches and curricula and acting as a barrier to instruction that provides students with the skills necessary to recognize uncertainty and variability in the real world. It describes a study driven by the conjecture that the reform movement would have been more successful in achieving its objectives if it were to put more emphasis on helping students build sound intuitions about variation. It provides an overview of how the conjecture guiding the study was developed and linked to classroom practice, and briefly discusses the experiences and insights gained from a teaching experiment in a college level, introductory statistics classroom, which adopted a nontraditional approach to statistics instruction with variation at its core. By contrasting students' intuitions about the stochastic prior to instruction to their stochastical reasoning at the completion of the course, it illustrates the potential of the instructional approach as an alternative to more conventional instruction.
  • Author(s):
    Quilici, J., Mayer, R. E.
    Year:
    2002
    Abstract:
    An important skill in mathematical problem solving is recognizing that the problem one is working on (target problem) can be solved using the same method as a problem one already knows (source problem). In a preliminary study, college students displayed a higher level of structural awareness (i.e. sorting word problems on the basis of structural features) at the end rather than the beginning of their first statistics course. In the main study, we taught college students to sort statistics word problems on the basis of structural features (i.e. whether the problem could be solved by t-test, correlation, or chi-square statistics) rather than surface features (i.e. the problem's cover story). These results support a structural awareness theory in which students learn to form problem schemas by abstracting the underlying structural features of a problem statement and organizing them into a generalized problem model.
  • Author(s):
    Holcomb, J. & Spalsbury, A.
    Editors:
    Johnson, R. W.
    Year:
    2005
    Abstract:
    Textbooks and websites today abound with real data. One neglected issue is that statistical investigations often require a good deal of cleaning to ready data for analysis. The purpose of this dataset and exercise is to teach students to use exploratory tools to identify erroneous observations. This article discusses the merits of such an exercise and provides a team project, problem data, cleaned data for instructors, and reflections on past experiences. The main goal is to give instructors a prepared project for their students to perform realistic data preparation and subsequent analysis. The data for this project involve categorical and continuous variables for subjects age 65 and over testing calcium, inorganic phosphorus, and alkaline phosphatase levels in the blood. The project described in this article involves summary analysis, but the cleaned data could also be used for
  • Author(s):
    Fesco, R. S., Kalsbeek, W. D., Lohr, S. L., Sheaffer, R. L., Scheuren, F. J., & Stasny, E. A.
    Year:
    1996
    Abstract:
    In recent years the focus of research in survey sampling has changed to include a number of nontraditional topics such as sampling errors. In addition, the availability of data from large-scale sample surveys, along with computers and software to analyze the data, have changed the tools needed by survey sampling statisticians. It has also resulted in a diverse group of secondary data users who wish to learn how to analyze data from a complex survey. Thus it is time to reassess what we should be teaching students about survey sampling. This article brings together a panel of experts on survey sampling and teaching to discuss their views on what should be taught in survey sampling classes and how it should be taught.
  • Author(s):
    Dambolena, I. G.
    Year:
    1984
    Abstract:
    A computer-based strategy for illustrating the central limit theorem is described which introduces students to the important concept of a simulation model. The computer program is included. (MNS)
  • Author(s):
    Schafer, D. W., & Ramsey, F. L.
    Year:
    2003
    Abstract:
    We describe our experiences and express our opinions about a non-introductory statistics course covering data analysis. In addition to the methods of statistics, the course emphasizes the process of data analysis, the communication of results, and the role of statistics in the accumulation of scientific evidence. Since it is impossible to provide explicit instructions for all data analytic situations, the course attempts to impart a body of tools, a spirit of approach, and enough thoroughly covered case studies to give students the skills and confidence to apply this craft on their own.
  • Author(s):
    Jackson, D., Berger, C., & Edwards, B.
    Year:
    1993
    Abstract:
    Describes a project where computer-assisted graphical data analyses were introduced to inner-city high school students with weak math and science backgrounds. Provides examples of performance of students on open-ended problem-solving tasks.
  • Author(s):
    Reiter, J. P.
    Editors:
    Rossman, A., & Chance, B.
    Year:
    2006
    Abstract:
    Sports data are commonly used to present topics from introductory statistics, such as exploratory data analysis and probability. They also can illustrate more subtle and complex statistical issues, such as selecting appropriate variables, making casual inferences from observational data, and specifying appropriate inferential populations. In this paper, I discuss how sports data can be used to engage students on such fundamental aspects of data analysis. I frame the discussion around the question posed in the title, a question which has generated much debate among baseball enthusiasts.
  • Author(s):
    Nakamura, R.
    Editors:
    Vere-Jones, D., Carlyle, S., & Dawkins, B. P.
    Year:
    1991
    Abstract:
    First of all we want to review the present state and analyse some current problems of mathematics education, particularly probability and statistics education, in Japanese senior high schools.
  • Author(s):
    Brandwein, A. C., & Rosenberg, L.
    Editors:
    Vere-Jones, D., Carlyle, S., & Dawkins, B. P.
    Year:
    1991
    Abstract:
    In this paper we will explain the development of our package, how and why it is used in the classroom, and why we feel it is a better way of teaching statistics.

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The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education

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