Jordan Joseph Ash and Dr. Shane Reece, Statistics Music therapy seeks to take advantage of specific sounds and rhythms that promote physical, mental, social, emotional, and spiritual well-being. While the physiological benefits of music have long been recognized, there have been few attempts to quantify the results and document their application. This paper seeks to […]
Gender Differences in BYU Communications Students’ Career Attitudes
Alexis Allen and Dr. Shane Reese, Statistics Women have made vast advancements in the workplace within the last thirty years, but gender career issues still exist today. The field of communications presents an interesting case study about discrepancies between male and female employees’ contrasting earnings and career roles. A phenomenon called the Glass Ceiling Effect […]
REVISED ESTIMATES OF WORLD WIDE ANEMIA
Kenton R. Wride and Dr. Gilbert W. Fellingham, Statistics The stated mission of the World Health Organization (WHO) is to improve health around the world. One aspect of this mission involves preparing reliable models to describe patterns of health world wide. WHO has built a summary data file based on nearly 700 published and unpublished […]
Control Chart Development for the Coefficient of Variation
Geraldine Madariaga and Dr. C. Shane Reese, Statistics Introduction Industries use control charts to evaluate whether or not a process is “in control” or producing parts that meet the standards of quality. Control charts are based on the principle that variation between samples can be predicted based on sampling distributions. Parts are measured and the […]
Operation Export A Study of Small- to Mid-size Export Manufacturing Businesses in the Philippines
Anthony J. Familia and Dr. Paul J. Fields, Statistics Market globalization gives developing countries a better opportunity to start successful export manufacturing operations than ever before. However, because virtually no research exists on export manufacturing companies in developing countries, many micro-entrepreneurs are unable to tap into these vast international markets. Consequently, potential export manufacturers typically […]
THE IDENTITY OF SOCIALLY RESPONSIBLE BUSINESS
Ryan Quinn and Dr. David A. Whetten, Statistics In the popular press of today’s business world, socially responsible business is a hot topic. Periodicals, books, mutual funds, associations, and countless other media, groups, and people tout socially responsible business as the “right” thing for forward-looking companies to do. Underlying all of the claims of benefits […]
THREE CLASSIFICATION TECHNIQUES IN EXPLAINING HEALTH INSURANCE COVERAGE
David Boyack Dahl and Dr. Scott D. Grimshaw, Statistics Classification is the assignment of objects to categories using a decision rule based on observed characteristics. Several classification techniques are available to form the decision rule. Each builds the decision rule by modeling the relationship between the actual categories and observed characteristics. The decision rule can […]
DEVELOPMENT OF A RELIABLE CONFIDENCE INTERVAL FOR THE KAPPA STATISTIC, WITH APPLICATION TO THE SEMICONDUCTOR INDUSTRY
Rachelle Curtis and Dr. G. Bruce Schaalje, Statistics Introduction: In the Semiconductor industry, it is necessary to compare the performance of different test-tapes to assure that each produces similar quality work. Test tapes sort each die, or computer chip, into one of a fixed number of bins, depending on how well it functions. When validating […]
A Statistical Report of BYU Premedical Students from 2002-2007
Daniel Chan and Professor David Kaiser, Preprofessional Advisement Center In 2006 the average number of BYU medical school applications for any one applicant was 17. With the chance of matriculation per application only 3.8%, yet the cost of each application running as high as $700 each, it is important for BYU premedical students to make informed […]
Transcription Factor Binding Site Identification Using Mathematical Algorithms
Colin Rogerson and Dr. W. Evan Johnson, Department of Statistics The purpose of our research project was, originally, first to identify the likely binding sites of the Estrogen Receptor transcription factor, and second to identify likely co-factors that interact with Estrogen Receptor in the binding process. We planned to do this using a computational algorithm […]