Literature Index

Displaying 2131 - 2140 of 3326

  • STATISTICAL EDUCATION: FOCUSING ON THE LEARNE

    Author(s):
    Alain Bihan-Poudec
    Year:
    2010
    Abstract:
    For over thirty years, statistical education has fought for a "pedagogy of proximity."<br><br>But if this seems to bring greater success, it does not guarantee the understanding of<br><br>statistical concepts. An analysis of an experiment by Gattuso &amp; Mary (2003, 2005),<br><br>and an observational study made by the author, highlight the phenomenon of<br><br>"cognitive isolation." This underlines the importance of the learners' views of<br><br>statistics. The work of Reid and Petocz (2002) corroborates this and provides more<br><br>insight into the necessity of an exogenous disturbance to learning so that it is fully<br><br>realized. Methodologically, it emerges that qualitative methods have their full place in<br><br>statistical education research, including as an opportunity to reassess the research<br><br>objectives.
    Location:
    http://www.stat.auckland.ac.nz/~iase/serj/SERJ9(2)_Bihan-PoudecExtended.pdf

  • Statistical education: Improvements are badly needed

    Author(s):
    Hogg, R. V.
    Year:
    1991
    Abstract:
    Thirty-nine statisticians gathered for a workshop on statistical education in Iowa City, IA, June 18-20, 1990. I attempt here to capture some of our thoughts on statistical education.

  • Statistical experiences for undergraduates

    Author(s):
    Kader, G. D.
    Year:
    1983
    Abstract:
    This paper describes the incorporation of experiences in statistical practice into an introductory service statistics course at Appalachian State University. Statistical concepts are introduced by exposing students to relevant data problems in non mathematical terms. Emphasizing an exploratory approach to data analysis and an experimental attitude, question formulation is developed.

  • Statistical graphics: Developments from statistical practice into statistical education

    Author(s):
    Landwehr, J. M.
    Editors:
    Vere-Jones, D., Carlyle, S., &amp; Dawkins, B. P.
    Year:
    1991
    Abstract:
    This paper discusses several current topics in the areas of statistical graphics research and applications and suggests additional ways that graphical methods can be used to improve statistical education.

  • STATISTICAL GRAPHS IN THE TRAINING OF TEACHERS

    Author(s):
    Mar&iacute;a Candelaria Espinel, Alicia Bruno, and In&eacute;s Plasencia
    Year:
    2008
    Abstract:
    The responses to four multiple-choice questions taken from delMas, Garfield and Ooms (2005) by 190 future Spanish teachers and 345 American college students are compared and then complemented with a qualitative analysis of the justifications given by a subsample of 44 Spanish teachers. Some conclusions for the training of teachers are presented.
    Location:
    http://www.ugr.es/~icmi/iase_study/Files/Contents.htm

  • Statistical inference

    Author(s):
    Lindley, D. V.
    Editors:
    Vere-Jones, D., Carlyle, S., &amp; Dawkins, B. P.
    Year:
    1991
    Abstract:
    The core concept, around which all statistics teaching should be based, is probability. The basic ideas of probability and utility should be taught to everyone, because every citizen is forced to make decisions in an uncertain world.

  • STATISTICAL INFERENCE AT WORK: STATISTICAL<br>PROCESS CONTROL AS AN EXAMPLE9

    Author(s):
    ARTHUR BAKKER, PHILLIP KENT, JAN DERRY, RICHARD NOSS &amp; CELIA HOYLES
    Year:
    2008
    Abstract:
    To characterise statistical inference in the workplace this paper compares a<br>prototypical type of statistical inference at work, statistical process control (SPC),<br>with a type of statistical inference that is better known in educational settings,<br>hypothesis testing. Although there are some similarities between the reasoning<br>structure involved in hypothesis testing and SPC that point to key characteristics of<br>statistical inference in general, there are also crucial differences. These come to the<br>fore when we characterise statistical inference within what we call a "space of<br>reasons" - a conglomerate of reasons and implications, evidence and conclusions,<br>causes and effects.
    Location:
    http://www.stat.auckland.ac.nz/~iase/serj/SERJ7(2).pdf

  • Statistical investigations - Drawing It All Together

    Author(s):
    Jolliffe, F.
    Editors:
    Phillips, B.
    Year:
    2002
    Abstract:
    The author's approach to teaching an integrative unit to a small group of master's level Applied Statistics students in 2000-2001 is described. Details of the various activities such as data analysis, reading and discussion of papers, and training in consultancy skills are given, as also are details of the assessment. The students' and lecturer's views of the unit are discussed.
    Location:
    http://www.stat.auckland.ac.nz/~iase/publications/1/3e2_joli.pdf

  • Statistical Laboratories Using Minitab, SPSS and Excel: A Practical Comparison.

    Author(s):
    Prvan, T., Reid, A. &amp; Petocz, P.
    Editors:
    Goodall, G.
    Year:
    2002
    Abstract:
    This article discusses three statistical laboratories - on descriptive statistics, statistical inference and regression - for introductory statistics courses. They are presented in Minitab, SPSS (Statistical Pack-age for the Social Sciences) and Excel, three pack-ages widely used in statistics education, and are available from the Web.

  • Statistical literacy

    Author(s):
    Perry, L. M.
    Year:
    1983
    Abstract:
    This paper will concentrate on thinking and communicating. No attempt, however, is made here to define a "knowledge syllabus" of conceptual and philosophical understandings, methodological or problem solving skills, or required studies of societal impacts for a course.

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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