Literature Index

Displaying 1711 - 1720 of 3326
  • Author(s):
    Kader, G., & Perry, M.
    Year:
    1994
    Abstract:
    In this curriculum and evaluation standards for School Mathematics (1989), the National Council of Teachers of Mathematics recommends that the K-12 mathematics curriculum be broadened and designates statistics as an area deserving increased attention. The standards document promotes the concept that statistics be learned through the study of real problems with real data collected by the students. Rather than focus on developing formulas from which answers are simply computed, teachers should present statistics in a coherent fashion and develop the topic as a whole problem-solving process. The standards also encourage the use of appropriate technologies for learning mathematics. Appropriate technology allows us not only to expand what mathematics is taught but also to enhance how that mathematics is learned.
  • Author(s):
    Mecklin, C. & Donnelly, R. G.
    Editors:
    Stephenson, W. R.
    Year:
    2005
    Abstract:
    In this paper, we consider some combinatorial and statistical aspects of the popular Powerball lottery game. It is not difficult for students in an introductory statistics course to compute the probabilities of winning various prizes, including the jackpot in the Powerball game. Assuming a unique jackpot winner, it is not difficult to find the expected value and the variance of the probability distribution for the dollar prize amount. In certain circumstances, the expected value is positive, which might suggest that it would be desirable to buy Powerball tickets. However, due to the extremely high coefficient of variation in this problem, we use the law of large numbers to show that we would need to buy an untenable number of tickets to be reasonably confident of making a profit. We also consider the impact of sharing the jackpot with other winners.
  • Author(s):
    Woolley, T. W.
    Editors:
    Goodall, G.
    Year:
    2004
    Abstract:
    This article describes an illustration of Bayesian inference that has proved popular with students.
  • Author(s):
    Rouncefield, M.
    Year:
    1988
    Abstract:
    Statistics is a useful and necessary tool required by large numbers of pupils for their project work in other subject areas. But what are these pupils learning in their Mathematics lessons to back up all this practical statistical work? What can the Mathematics teacher provide to develop the necessary skills? Often little consideration is given to the QUALITY of the data collected and the most appropriate method of selecting a sample for a particular purpose. Should the Mathematics teacher consider sampling methods and help pupils to understand the need for a representative sample? Can the microcomputer be utilised for a more practical approach geared to the child's understanding?
  • Author(s):
    Jolliffe, F.
    Editors:
    Rossman, A., & Chance, B.
    Year:
    2006
    Abstract:
    Practice in doing consultancy, and in teaching consultancy skills to statisticians, improves that teaching, regardless of the teaching method used. Teaching consultancy skills involves emphasis on communication skills, making statisticians aware of the range of problems they might meet, and showing them ways of dealing with non-standard problems. Examples based on actual consultancy sessions are discussed in this paper, and suggestions are made as to how to integrate these into a course intended to equip students for work as a practical statistician.
  • Author(s):
    Swift, J.
    Year:
    1983
    Abstract:
    This report discusses the task of implementing suggestions for statistical education.
  • Author(s):
    GROTH, R. E. & BERGNER, J. A.
    Year:
    2005
    Abstract:
    The study describes the nature of pre-service teachers' idiosyncratic metaphors for the concept of statistical sample. These metaphors were investigated because of their potential to provide insight about individuals' content knowledge and how that content knowledge is enacted during teaching. Personal metaphors were elicited from 54 pre-service teachers through writing prompts. The writing prompt responses revealed seven different categories of thinking. In some instances, pre-service teachers struggled to construct a metaphor for the concept of sample. In the majority of cases, they constructed a metaphor for sample and discussed its relationship to their knowledge of the concept. The categories of thinking highlight some of the aspects of the concept of sample that teacher educators need to attend to over the course of instruction, and they also point out directions for further research related to metaphorical thinking about statistical content and its interaction with teaching practice.
  • Author(s):
    Canada, D.
    Editors:
    Shaughnessy, M.
    Year:
    2004
    Abstract:
    Recent research has been aimed at finding out how precollege students think about variation, but very little research has been done with the prospective teachers of those students. Absent from the literature is an examination of the conceptions of variation held by elementary preservice teachers (EPSTs). This study addresses how EPSTs think about variation in the three contexts of sampling, data and graphs, and probability situations.<br><br>A qualitative study was undertaken with thirty students in an elementary teachers' mathematics course. The course included three classroom interventions comprised of activities promoting an exploration of variation in each of the three contexts. Written surveys were completed by all students both before and after the class interventions, and six students participated in pre and post interviews.<br><br>Collective results from the survey data, interview data, and class observations were used to describe components of an evolving framework useful for examining EPSTs' conceptions of variation. The three main aspects of the framework address how EPSTs reason in expecting, displaying, and interpreting variation. Each of the three aspects is further defined by different dimensions, which in turn have their own constituent themes. The depth in describing the evolving framework is a main contribution of this research.<br><br>Particular tasks created or modified for this research proved useful in examining EPSTs' conceptions of variation. One kind of task asked students to evaluate supposed results of experiments and decide if the results were genuine or not. Another kind of task provided specific arguments to which subjects could react. A third kind of task involved a comparison of data sets that were displayed using different types of graphs.<br><br>The framework was used to compare the thinking of the six interviewees from before to after the class interventions. Changes included richer conceptions of expectations of variation, more versatile understanding about displays of variation, and better interpretations of variation. The most notable changes were the overall depth in maturity of responses and an increased sophistication in communication during the post interview. Evidence suggests that the class interventions, and the survey and interview tasks, stimulated changes in the way students thought about variation.
  • Author(s):
    Nemetz, T.
    Editors:
    Barnett, V.
    Year:
    1982
    Abstract:
    This chapter surveys stochastics teaching at different ages and in different schools in Hungary, including discussion of future plans, and of teaching experiments.
  • Author(s):
    Mills, T. C.
    Editors:
    Johnson, R. W.
    Year:
    2005
    Abstract:
    A data set contained in the Journal of Statistical Education's data archive provides a way of exploring regression analysis at a variety of teaching levels. An appropriate functional form for the relationship between percentage body fat and the BMI is shown to be the semi-logarithmic, with variation in the BMI accounting for a little over half of the variation in body fat. The fairly modest strength of the relationship implies that confidence intervals for body fat, and tolerance intervals for BMI, can be quite wide, so that strict reliance on the BMI as a measure of body fat, and hence obesity, is unwarranted. Nevertheless, when fitting percentage body fat as a function of the class of "power weight for height indices", i.e., indices of the form weight/heightp, the BMI, with a height exponent of p = 2, is an appropriate choice to make.

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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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