Literature Index

Displaying 1851 - 1860 of 3326
  • Author(s):
    Liu, Y., & Thompson, P. W.
    Editors:
    Mewborn, D.
    Year:
    2002
    Abstract:
    In this article, we highlight a series of tensions inhrent to understanding randomness. In doing so, we locate discussions of randomness at the intersections of a broad range of literatures concerned with the ontology of stochastic events and epistemology of probabilistics ideas held by people. Locating the discussion thus has the advantage of emphasizing the growth of probabilisitic reasoning and deep connections among its aspects.
  • Author(s):
    Vannman, K.
    Editors:
    Pereira-Mendoza, L.
    Year:
    1993
    Abstract:
    In this paper I will deal with exploratory data analysis, EDA, and will consider EDA to be taught as part of school statistics. Although I think it is important to teach EDA at the school level, I also find it important to teach areas within confirmatory data analysis or statistical inference as well as probability and randomness, but this will not be discussed here. I will first briefly address the issue of who should teach data analysis. Then I will give examples of areas within EDA that are useful to introduce to the mathematics teachers at the upper secondary level.
  • Author(s):
    Gal, I.
    Editors:
    Pereira-Mendoza, L.
    Year:
    1993
    Abstract:
    In this paper we focus mainly on the expansion of instruction. Specifically, we examine existing approaches and programs for teaching statistics primarily from the perspective of their ability to reach teachers working with the majority of U.S. students, in "average" or "below average" schools, and who, so far, had made little or no effort to teach statistics. Such teachers often teach the "forgotten halfs" (the 50% or so of U.S. students who do not go to college), the students who may go to college but drop out, and the students who will not be exposed to statistics education after leaving high school. In particular, we examine programs offered to mathematics educators where, ever since the National Council of Teachers of Mathematics has formally included a strand on statistics in its 1989 Curriculum and Evaluation Standards, attempts to introduce statistics into U.S. schools seem to be most visible.
  • Author(s):
    Jane Watson and Lyn English
    Year:
    2017
    Abstract:
    This study reports on a classroom activity for Grade 5 students investigating their reaction times. The investigation was part of a 3-year research project introducing students to informal inference and giving them experience carrying out the practice of statistics. For this activity the focus within the practice of statistics was on introducing two different ways of collecting data to answer a statistical question, in this case, “What is the typical reaction time of Grade 5 students?” Workbook entries were used to assess students’ capacities to engage in the investigation. Results indicated that although the students were proficient with the procedures and measures introduced, they were less able to explain and apply the underlying concepts. The activity provides a suggestion and benchmarks for others wishing to follow student development of concepts related to the practice of statistics.  
  • Author(s):
    Shaughnessy, M.
    Editors:
    Maher, C. A., Goldin, G. A., & Davis, R. B.
    Year:
    1989
    Abstract:
    I would like to organize my remarks by pointing out the central issue raised by each previous paper and then raising some questions for each author.
  • Author(s):
    Short, T. H., Moriarty, H., & Cooley, M. E.
    Year:
    1995
    Abstract:
    The American Cancer Society and the National Cancer Institute both develop pamphlets and booklets to inform patients with cancer and their families about the nature and treatment of the illness. Written materials are often given to patients to reinforce verbal instructions, or in some cases, given in place of verbal instructions. Unfortunately, published materials may be written at a reading level that is difficult for many patients to understand.<br>The data presented here represent the readabilities of 30 booklets about cancer and the reading levels of 63 patients with cancer. A number of elementary but important statistical issues must be resolved before conclusions can be drawn. To analyze the data, students must be familiar with the notions of scales of measurement, data reduction, measuring center, constructing and interpreting displays, and reaching conclusions in real problems.
  • Author(s):
    Greer, B., &amp; Ritson, R.
    Abstract:
    Data handling has recently been introduced in the United Kingdom as a major component of the mainstream school mathematics curriculum. A survey of teachers in Northern Ireland showed that they are generally not well prepared to teach new material, particularly probability.
  • Author(s):
    Greer, B., &amp; Ritson, R.
    Editors:
    The National Organizing Committee of the ICOTS 4
    Year:
    1994
    Abstract:
    Data handling has recently been introduced on the United Kingdom as a major component of the mainstream school mathematics curriculum. A survey of teachers in Northern Ireland showed that they are generally not well prepared to teach the new material, particularly probability.
  • Author(s):
    Steen, L. A.
    Year:
    2000
    Abstract:
    Quantitative literacy addresses citizen's needs to function knowledgably in a society that is data-intensive. Such literacy is as necessary as reading and writing. Colleges and universities fulfill this educational imperative with a variety of goals and requirements. To equip students for life in the Computer Era, a sharper focus is called for , in undergraduate education for numeracy.
  • Author(s):
    Carl Lee
    Year:
    2006
    Abstract:
    Do you use hands-on activities in your class? Would you be interested in using data collected by students from different classes at different institutions? Would you be interested in sharing your students' data with others? Does it take more time than you would like to spend in your class for hands-on activities? Do you have to enter the hands-on activity data yourself after the class period?<br><br>If your answer to any of the above questions is "YES", then, this Real-Time Online Database approach should be beneficial to your class.<br><br>In this presentation, we will (1) introduce the real-time online database (stat.cst.cmich.edu/statact) funded by a NSF/CCL grant, (2) demonstrate how to use the real-time database to teach introductory statistics using two of the real-time activities and (3) share with you some of the assessment activities including activity work sheets and projects.

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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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