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- All Subjects: Statistics
- Creators: Department of Information Systems
Description
This thesis includes three separate documents: a) a comprehensive document detailing the methods and analysis of the creative factors tied to series success, b) an hour long pilot script based on this data, and c) an industry-standard pitch deck for a TV show created with data insights. In a larger sense, the aim of this study is to take the first steps in remedying information asymmetry between streaming services and content creators. If streaming services were more transparent with their data and communicated to their creators what has been proven to work in the past, showrunners and staff writers could have a new tool to increase the competitiveness of their series and aid in show renewal each year.
ContributorsQuenon, Genevieve (Author) / Shin, Donghyuk (Thesis director) / Saywell, Jesse (Committee member) / The Sidney Poitier New American Film School (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
This thesis was conducted to study and analyze the fund allocation process adopted by different states in the United States to reduce the impact of the Covid-19 virus. Seven different states and their funding methodologies were compared against the case count within the state. The study also focused on development of a physical distancing index based on three significant attributes. This index was then compared to the expenditure and case counts to support decision making.
A regression model was developed to analyze and compare how different states case counts played out against the regression model and the risk index.
ContributorsJaisinghani, Shaurya (Author) / Mirchandani, Pitu (Thesis director) / Clough, Michael (Committee member) / McCarville, Daniel R. (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor) / Department of Information Systems (Contributor) / Industrial, Systems & Operations Engineering Prgm (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
League of Legends is a Multiplayer Online Battle Arena (MOBA) game. MOBA games are generally formatted where two teams of five, each player controlling a character (champion), will try to take each other's base as quickly as possible. Currently, with about 70 million, League of Legends is number one in the digital entertainment industry with $1.63 billion dollars of revenue in year 2015. This research analysis scopes in on the niche of the "Jungler" role between different tiers of player in League of Legends. I uncovered differences in player strategy that may explain the achievement of high rank using data aggregation through Riot Games' API, data slicing with time-sensitive data, random sampling, clustering by tiers, graphical techniques to display the cluster, distribution analysis and finally, a comprehensive factor analysis on the data's implications.
ContributorsPoon, Alex (Author) / Clark, Joseph (Thesis director) / Simon, Alan (Committee member) / Department of Information Systems (Contributor) / Department of Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The object of the present study is to examine methods in which the company can optimize their costs on third-party suppliers whom oversee other third-party trade labor. The third parties in scope of this study are suspected to overstaff their workforce, thus overcharging the company. We will introduce a complex spreadsheet model that will propose a proper project staffing level based on key qualitative variables and statistics. Using the model outputs, the Thesis team proposes a headcount solution for the company and problem areas to focus on, going forward. All sources of information come from company proprietary and confidential documents.
ContributorsLoo, Andrew (Co-author) / Brennan, Michael (Co-author) / Sheiner, Alexander (Co-author) / Hertzel, Michael (Thesis director) / Simonson, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor)
Created2014-05
Description
Over the course of six months, we have worked in partnership with Arizona State University and a leading producer of semiconductor chips in the United States market (referred to as the "Company"), lending our skills in finance, statistics, model building, and external insight. We attempt to design models that help predict how much time it takes to implement a cost-saving project. These projects had previously been considered only on the merit of cost savings, but with an added dimension of time, we hope to forecast time according to a number of variables. With such a forecast, we can then apply it to an expense project prioritization model which relates time and cost savings together, compares many different projects simultaneously, and returns a series of present value calculations over different ranges of time. The goal is twofold: assist with an accurate prediction of a project's time to implementation, and provide a basis to compare different projects based on their present values, ultimately helping to reduce the Company's manufacturing costs and improve gross margins. We believe this approach, and the research found toward this goal, is most valuable for the Company. Two coaches from the Company have provided assistance and clarified our questions when necessary throughout our research. In this paper, we begin by defining the problem, setting an objective, and establishing a checklist to monitor our progress. Next, our attention shifts to the data: making observations, trimming the dataset, framing and scoping the variables to be used for the analysis portion of the paper. Before creating a hypothesis, we perform a preliminary statistical analysis of certain individual variables to enrich our variable selection process. After the hypothesis, we run multiple linear regressions with project duration as the dependent variable. After regression analysis and a test for robustness, we shift our focus to an intuitive model based on rules of thumb. We relate these models to an expense project prioritization tool developed using Microsoft Excel software. Our deliverables to the Company come in the form of (1) a rules of thumb intuitive model and (2) an expense project prioritization tool.
ContributorsAl-Assi, Hashim (Co-author) / Chiang, Robert (Co-author) / Liu, Andrew (Co-author) / Ludwick, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
Description
In baseball, a starting pitcher has historically been a more durable pitcher capable of lasting long into games without tiring. For the entire history of Major League Baseball, these pitchers have been expected to last 6 innings or more into a game before being replaced. However, with the advances in statistics and sabermetrics and their gradual acceptance by professional coaches, the role of the starting pitcher is beginning to change. Teams are experimenting with having starters being replaced quicker, challenging the traditional role of the starting pitcher. The goal of this study is to determine if there is an exact point at which a team would benefit from replacing a starting or relief pitcher with another pitcher using statistical analyses. We will use logistic stepwise regression to predict the likelihood of a team scoring a run if a substitution is made or not made given the current game situation.
ContributorsBuckley, Nicholas J (Author) / Samara, Marko (Thesis director) / Lanchier, Nicolas (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
When considering the differing worlds of moral ambiguity and the dismantling of moral absolutism, it’s clear that the two concepts work hand-in-hand. With the former expanding the grey area between good and bad while the latter questions whether or not the extremities of good and bad exist in the first place, it becomes transparent (while examining the world through this viewpoint) that there are trade-offs in actions. This creative literature, Boy Mimics Man, explores this very concept of moral ambiguity. Can the past be enough to justify present or future actions?
Second, is/can religion be used as a lens to justify objectively oppressive things. With the novel set in 2027, this novel assumes complicity played out leading to a dystopian future where being gay and queer is illegal. Religion is the justifying indicator to push for advocacies that do more harm than good. But the objectively bad act is justifiable through the good lens of religious pursuit. With that said, is moral ambiguity used in a way to mask atrocities or justify them?
This creative writing piece is the set-up to moral ambiguity and the twists and turns that the protagonist will eventually take. To survive and thrive in this culture, what do we have to do to hide? When it comes to the exploration of religion, what components of religion justify treating people like second-class citizens? Or, what components of religion do we use unfairly to push an ideology that holistically acts against the best interest of the people?
Second, is/can religion be used as a lens to justify objectively oppressive things. With the novel set in 2027, this novel assumes complicity played out leading to a dystopian future where being gay and queer is illegal. Religion is the justifying indicator to push for advocacies that do more harm than good. But the objectively bad act is justifiable through the good lens of religious pursuit. With that said, is moral ambiguity used in a way to mask atrocities or justify them?
This creative writing piece is the set-up to moral ambiguity and the twists and turns that the protagonist will eventually take. To survive and thrive in this culture, what do we have to do to hide? When it comes to the exploration of religion, what components of religion justify treating people like second-class citizens? Or, what components of religion do we use unfairly to push an ideology that holistically acts against the best interest of the people?
ContributorsBui, Richard (Author) / Lowry, Elizabeth (Thesis director) / Rigoni, Adam (Committee member) / School of Politics and Global Studies (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Exchange traded funds (ETFs) in many ways are similar to more traditional closed-end mutual funds, although thee differ in a crucial way. ETFs rely on a creation and redemption feature to achieve their functionality and this mechanism is designed to minimize the deviations that occur between the ETF’s listed price and the net asset value of the ETF’s underlying assets. However while this does cause ETF deviations to be generally lower than their mutual fund counterparts, as our paper explores this process does not eliminate these deviations completely. This article builds off an earlier paper by Engle and Sarkar (2006) that investigates these properties of premiums (discounts) of ETFs from their fair market value. And looks to see if these premia have changed in the last 10 years. Our paper then diverges from the original and takes a deeper look into the standard deviations of these premia specifically.
Our findings show that over 70% of an ETFs standard deviation of premia can be explained through a linear combination consisting of two variables: a categorical (Domestic[US], Developed, Emerging) and a discrete variable (time-difference from US). This paper also finds that more traditional metrics such as market cap, ETF price volatility, and even 3rd party market indicators such as the economic freedom index and investment freedom index are insignificant predictors of an ETFs standard deviation of premia when combined with the categorical variable. These findings differ somewhat from existing literature which indicate that these factors should have a significant impact on the predictive ability of an ETFs standard deviation of premia.
Our findings show that over 70% of an ETFs standard deviation of premia can be explained through a linear combination consisting of two variables: a categorical (Domestic[US], Developed, Emerging) and a discrete variable (time-difference from US). This paper also finds that more traditional metrics such as market cap, ETF price volatility, and even 3rd party market indicators such as the economic freedom index and investment freedom index are insignificant predictors of an ETFs standard deviation of premia when combined with the categorical variable. These findings differ somewhat from existing literature which indicate that these factors should have a significant impact on the predictive ability of an ETFs standard deviation of premia.
ContributorsZhang, Jingbo (Co-author, Co-author) / Henning, Thomas (Co-author) / Simonson, Mark (Thesis director) / Licon, L. Wendell (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
What is a “Good Economy”? Analysis of Economic Metrics & Their Political Impact on the United States
Description
The goal of this research paper is to analyze how we define economic success and how that affects large corporations and consumers. This paper asks the questions: What do we define as a good economy? What metrics are currently utilized? And how do perceptions of a good economy influence politics? Overall, the research seeks to identify common economic and financial fallacies held by the average citizen and offer alternative methods of how socio-economic information is presented to the consumers. Consumers play a major role in the market, and the information they receive has a considerable impact on their behaviors. Determining why the present economic analysis is used is the first step in finding ways to improve the system. Observing past political and economic trends and relating them to current issues is necessary for finding future solutions.
ContributorsTosca, Carlos (Author) / Brian, Jennifer (Thesis director) / Sadusky, Brian (Committee member) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Rhesus (Macaca mulatta) and cynomolgus (M. fascicularis) macaques are the most commonly used nonhuman primate models in biomedical research. It is therefore critical to correctly infer each study animal's ABO blood group phenotype to prevent fatal transfusion- and transplantation-induced immune responses. While most macaques can be efficiently and accurately phenotyped using a DNA-based assay, we have identified some animals that are unable to be classified as type A, B, or AB and therefore exhibit an indeterminate phenotype. The purpose of this study was to develop a protocol for resolving indeterminate blood group phenotypes and consequently determine if these animals do indeed belong to an O blood phenotype. We attempted both direct and cloning-based sequencing of 21 animals phenotyped as A, B, AB, or indeterminate in order to assess variation at the functional mutation site in exon 7 of the macaque ABO gene. Although direct-from-PCR Sanger sequencing was unable to generate reliable sequence results, our cloned plasmid protocol yielded high quality sequences consistent with known blood group-specific alleles and as such can be used to identify informative polymorphisms at this locus.
ContributorsVizor, Choice Popsira (Author) / Kanthaswamy, Sreetharan (Thesis director) / Oldt, Robert (Committee member) / Department of Information Systems (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05