Literature Index

Displaying 2811 - 2820 of 3326
  • Author(s):
    Biesterfeld, A.
    Year:
    2001
    Abstract:
    The Price is Right is a popular U.S. television game show in which contestants play product-pricing games in order to win prizes. Games involve some knowledge of prices, but many involve the element of chance as well. This paper describes a classroom activity I have designed to help teach probability concepts to students in an upper-level course. It is based on the television game show The Price is Right. This exercise is designed to help students better understand basic concepts such as probability rules, common distributions, and expectations. The exercise is intended for an upper-level statistics course, but could easily be adapted for use in an introductory statistics course as well. This paper describes The Price is Right classroom activity in detail. Student evaluations of the activity are also included.
  • Author(s):
    Robert E. Burks and Michael J. Jaye
    Year:
    2012
    Abstract:
    The Price Is Right (TPIR) provides a wealth of material for studying statistics at various levels of mathematical sophistication. The authors have used elements of this show to motivate students from undergraduate probability and statistics courses to graduate level executive management courses. The material consistently generates a high degree of student engagement and lively discussion. This paper describes one classroom activity to help reinforce basic probability and statistics concepts and their potential use in decision making.
  • Author(s):
    Fletcher, M.
    Editors:
    Goodall, G.
    Year:
    2006
    Abstract:
    This article considers some probability calculations for a television game show.
  • Author(s):
    Engel, A.
    Year:
    1975
    Abstract:
    In this paper we will introduce a new and powerful algorithm which trivializes an extensive class of discrete stochastic processes. The algorithm was discovered by the author in March 1974 when he tried to teach some nontrivial probability to a below average 4th grade in Carbondale, Illinois.
  • Author(s):
    Watson, J.
    Editors:
    Jones, G. A.
    Year:
    2005
    Abstract:
    This chapter covers a wide range of ideas associated with probabilistic thinking and provides some examples of the potential development in understanding that occurs in students in Grades 6 through 9. The first sections include intuitive ideas on luck and fairness, as well as chance language. Secondly, various types of probabilistic events, ranging from simple events to conjunction events are explored. Finally, appreciation of random behavior, sampling and variation in a probabilistic setting, the equiprobability bias, and the importance of dealing with probability in context, are considered in the last four sections.
  • Author(s):
    Drier, H. S.
    Year:
    2000
    Abstract:
    The development of the Probability Explorer is based on pedagogical<br>implications of constructivist learning theory. The tools available in the environment<br>have provided children with opportunities to extend their understandings of random<br>phenomenon and support their development of graphical and numerical data analysis<br>skills. The open-ended design allows users to explore a variety of simple and compound<br>experiments and to extend the limitations of physical devices with dynamic digital<br>experiences.
  • Author(s):
    Bhagwandas, V.
    Editors:
    Hawkins, A.
    Year:
    1990
    Abstract:
    This paper discusses the training of teachers in India.
    Location:
  • Author(s):
    Pike, D. J.
    Editors:
    Phillips, B.
    Year:
    2002
    Abstract:
    We live in changing times! The 21st century is fast becoming an age of assessment, of quality assurance - and of accountability. What does this all mean for the professional statistician? It means that potential clients need assurance of "professional competence". It also requires that this "professional competence", once achieved, is maintained in the light of advancements in both technical and analytical tools. This paper will illustrate the philosophical underpinning of the CPD process which will be implemented and used by the Royal Statistical Society as a vehicle to ensure the maintenance of professional standards within the statistical profession, in support of its professional status award of Chartered Statistician (CStat.). The paper will also seek to initiate and encourage a continuing rational debate between Academic Statisticians (who are increasingly being encouraged to generate commercial revenue for their universities) and practising commercial statisticians (who are increasingly finding academic developments in statistics irrelevant for their current needs).
  • Author(s):
    Shaughnessy, J. M.
    Editors:
    Scholz, R. W.
    Year:
    1983
    Abstract:
    In this paper we explore the interrelationships of research in judgment and decision making with research in mathematical education on the learning of probability concepts. The psychological literature demonstrates that people are subject to heuristic and biases when making inferences or probabilistic estimates. The literature of mathematics education indicates that many people are statistically illiterate. Thus, central motivating questions for the paper are: Can research in the learning and teaching of probability and statistics help the statistically naive judge? Can research in the psychology of inference help the naive statistician? How can research from both these disciplines aid the teacher of probability and statistics? The paper consists of three main parts. Part one investigates obstacles to the use of statistics when making judgments or inferences. Part two discusses some suggestions from psychologists and from mathematics educators for increasing people's reliance upon statistics when making inferences. In part three, suggestions for further research are discussed. It is suggested that cooperative research efforts between psychologists and mathematics educators be conducted in order to further investigate these questions.
    Location:
  • Author(s):
    Falk, R., &amp; Konold, C.
    Editors:
    Gordon, F., &amp; Gordon, S.
    Year:
    1992
    Abstract:
    This paper discusses the importance of including probability in the teaching of statistics.

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