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Fish, Laurel J.; Halcoussis, Dennis; Phillips, G. Michael – American Journal of Business Education, 2017
The Monte Carlo method and related multiple imputation methods are traditionally used in math, physics and science to estimate and analyze data and are now becoming standard tools in analyzing business and financial problems. However, few sources explain the application of the Monte Carlo method for individuals and business professionals who are…
Descriptors: Statistical Analysis, Monte Carlo Methods, Spreadsheets, Simulation
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Arzumanyan, George; Halcoussis, Dennis; Phillips, G. Michael – American Journal of Business Education, 2015
This paper presents the Agresti & Coull "Adjusted Wald" method for computing confidence intervals and margins of error for common proportion estimates. The presented method is easily implementable by business students and practitioners and provides more accurate estimates of proportions particularly in extreme samples and small…
Descriptors: Business Administration Education, Error of Measurement, Error Patterns, Intervals
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Chong, James; Halcoussis, Dennis; Phillips, G. Michael – American Journal of Business Education, 2012
The dual-beta model is a generalization of the CAPM model. In the dual-beta model, separate beta estimates are provided for up-market and down-market days. This paper uses the historical "Anscombe quartet" results which illustrated how very different datasets can produce the same regression coefficients to motivate a discussion of the…
Descriptors: Business Administration Education, Models, Risk, Regression (Statistics)
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Halcoussis, Dennis; Phillips, G. Michael – American Journal of Business Education, 2010
Statistics, econometrics, investment analysis, and data analysis classes often review the calculation of several types of averages, including the arithmetic mean, geometric mean, harmonic mean, and various weighted averages. This note shows how each of these can be computed using a basic regression framework. By recognizing when a regression model…
Descriptors: Regression (Statistics), Economics Education, Statistics, Data Analysis