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Jance, Marsha L.; Thomopoulos, Nick T. – American Journal of Business Education, 2011
The paper shows how to find the min and max extreme interval values for the exponential and triangular distributions from the min and max uniform extreme interval values. Tables are provided to show the min and max extreme interval values for the uniform, exponential, and triangular distributions for different probabilities and observation sizes.
Descriptors: Intervals, Probability, Observation, Statistical Distributions
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Caulfield, Michael J. – Mathematics Teacher, 2012
What if Stephen Douglas instead of Abraham Lincoln had won the U.S. presidential election of 1860? What if John F. Kennedy had not carried some of the eight states he won by 2 percentage points or fewer in 1960? What if six hundred more people in Florida had voted for Al Gore in 2000? And what if, in that same year, the U.S. House of…
Descriptors: Political Campaigns, Elections, Mathematical Models, Mathematical Applications
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Kcenich, Stephen; Boss'e, Michael J. – AMATYC Review, 2008
The ubiquitous change jar (or any other container) is the focus of this investigation. Using random pocket change, a distribution is determined and statistical tools are employed to calculate the value of given volumes of coins. This brief investigation begins by considering money, which piques the interest of most students, and uses this…
Descriptors: Investigations, Vignettes, Mathematics Instruction, Mathematical Applications
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Schilling, Mark F. – College Mathematics Journal, 1990
Developed are simple recursion formulas for generating the exact distribution of the longest run of heads, both for a fair coin and for a biased coin. Discusses the applications of runs-related phenomena such as molecular biology, Markov chains, geometric variables, and random variables. (YP)
Descriptors: College Mathematics, Computer Simulation, Higher Education, Mathematical Applications
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Scheuermann, Larry – Journal of Computers in Mathematics and Science Teaching, 1989
Provides a short BASIC program, RANVAR, which generates random variates for various theoretical probability distributions. The seven variates include: uniform, exponential, normal, binomial, Poisson, Pascal, and triangular. (MVL)
Descriptors: College Mathematics, Computer Software, Computer Uses in Education, Courseware