Digital Commons Network^™

How To Lie With Coronavirus Statistics: Campbell's Law And Measuring The Effects Of Covid-19, Joel Best

Numeracy

Campbell's Law warns that when measurements become consequential those whose performance is being measured may try to skew the results. This case study examines the Trump administration's efforts to present COVID-19 statistics that would discourage restricting economic activities and encourage reopening the economy.

Development Of The Algorithm For Supporting Decision-Making In Self-Government Bodies Using Machine Learning, X J. Raximboyev

Scientific-technical journal

The article deals with the problem of constructing a model and algorithm for decision support in self-government bodies using machine learning. The method of multiple linear regression for processing the training sample was chosen as a machine learning method. In the training sample, independent data consists of parametric estimates in numerical form of self-government bodies in three areas of activity, such as education, social environment and crime. And the dependent parameter consists of generalized expert assessments of self-government bodies, also in numerical form. The model and algorithm of the decision support process using the method of multiple linear regression are …

Drawing Normal Curves: A Visual Analysis Of Feedback In Writing-To-Learn Assignments In An Introductory Statistics Course For Community College Students, Samantha Estrada Aguilera

The Qualitative Report

Writing-to-learn benefits students in polishing their communication skills and understanding of statistical concepts cultivating a deeper understanding of statistics. A series of writing-to-learn activities were given to introductory statistics students at a community college in the Rocky Mountain region of the United States. Historically, research on the teaching and learning of statistics has been performed on undergraduates while overlooking the experiences of community college students in learning statistics. A total of 79 students completed the feedback instrument over the course of three semesters (Summer 2017, Fall 2017, and Spring 2018). The feedback instrument included three Likert scale questions, two open-ended …

Applying The Data: Predictive Analytics In Sport, Anthony Teeter, Margo Bergman

Access*: Interdisciplinary Journal of Student Research and Scholarship

The history of wagering predictions and their impact on wide reaching disciplines such as statistics and economics dates to at least the 1700’s, if not before. Predicting the outcomes of sports is a multibillion-dollar business that capitalizes on these tools but is in constant development with the addition of big data analytics methods. Sportsline.com, a popular website for fantasy sports leagues, provides odds predictions in multiple sports, produces proprietary computer models of both winning and losing teams, and provides specific point estimates. To test likely candidates for inclusion in these prediction algorithms, the authors developed a computer model, and test …

Equal Protection Under Algorithms: A New Statistical And Legal Framework, Crystal S. Yang, Will Dobbie

Michigan Law Review

In this Article, we provide a new statistical and legal framework to understand the legality and fairness of predictive algorithms under the Equal Protection Clause. We begin by reviewing the main legal concerns regarding the use of protected characteristics such as race and the correlates of protected characteristics such as criminal history. The use of race and nonrace correlates in predictive algorithms generates direct and proxy effects of race, respectively, that can lead to racial disparities that many view as unwarranted and discriminatory. These effects have led to the mainstream legal consensus that the use of race and nonrace correlates …

Three Creativity-Fostering Projects Implemented In A Statistics Class, Margaret Adams

Journal of Humanistic Mathematics

Undergraduates in an introductory statistics class at a rural Southeastern college were assigned three creativity-fostering projects: statistics vocabulary crossword puzzle, word wall, and graffiti art poster. Given math anxiety, fear of failure, and lack of enthusiasm, it seemed imperative to spark interest and involvement. Rhodes 4P’s model (1961) served as the framework for this intrinsic case study involving 62 students. Independent thinking and research, peer collaboration, and use of art supplies within this model (person, press, process and product) generated remarkable learning outcomes. Grading rubrics focused on originality, quality and statistics content. Projects were classified into three qualitative categories ranging …

Supplemental Online Learning Tools (Solts) To Support Deaf And Hard Of Hearing Students In Introductory Statistics Courses, Jacqueline Mcclive, Keith Mousley, Carol E. Marchetti, David Simkins, Gary Blatto-Vallee, Jane Jackson, Sue Foster

Journal of Science Education for Students with Disabilities

Research in most Science, Technology, Engineering, and Mathematics (STEM) disciplines uses statistical methods. Thus as students develop into research scientists, introductory statistics serves as a gateway course. If students struggle to incorporate statistics into their knowledge base, they may be effectively kept from careers that rely on statistics. DHH students learn differently and thus may lag behind their hearing counterparts in mainstream classrooms. In part, a gap in language knowledge can impede the understanding of statistics topics. What is a variable? What does it mean to have a distribution? With sign language interpreters and other support services, many mainstream instructors …

Visualising The Effect Of Sample Size On Descriptive Statistics: With Application To A Countermovement Jump Test, Nick Linthorne

ISBS Proceedings Archive

Students usually develop an intuitive feel for the interpretation of experimental data relatively slowly through analysing different data sets. The aim of this paper is to encourage educators to develop their student’s expertise more rapidly by using visual representations of statistical concepts and by having the student visually examine many sets of simulated data. The jump height achieved in a countermovement jump is used to illustrate this approach. Some students report that viewing many sets of simulated data in quick succession turbo-charged their expertise as a researcher. It is also shown that calculating the mean of 5–8 jump trials is …

Creation Of Mobile Applications For The Shrines Of Al-Hakim Al-Termizi, Mavlyuda Xodjayeva, Turdali Jumayev, Alimjon Dadamuhamedov, Barno Saydakhmedova

The Light of Islam

We recognize that the sustainable development of tourism has great potential for the development of cultural and humanitarian ties around the world. We emphasize the importance of information technology in tourism, especially in the areas of advertising, marketing, differentiation and specialization of tourism products. In addition, we reaffirm our commitment to pilgrimage tourism for the individual growth of people and the strengthening of basic social norms and national values. The program uses modern programming languages such as Php, Java, C ++. Al-Hakim at-Termizi is one of the most famous places of worship in Uzbekistan, which is also known for its …

Importance And Role Of Ziyarah Tourism In Raising Tourism Potential Of Bukhara Region, Bakhtiyor Nematovich Navruz-Zoda, Sultan Nuraliogli Najmiddinov

Scientific reports of Bukhara State University

This article outlines the importance of Ziyarah tourism and positive changes for the development of touristic potential in Bukhara region.In particular, related Ziyorah tourism in Bukhara there has been taken one of the measures , the I-International Ziyarah Tourism Forum, and the signing of the Bukhara Declaration this year. As well as it provides information about the tourist potential of the region and the foreigners' recognition and, there are conclusions regarding the sharp increase in the number of tourists in the region in the forthcoming years.

Study On Development Of China And International Innovation Statistics System, Chen Fang, Zhen Feng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Innovation-driven development has been a new development direction among global economies. Innovation statistics provide a new platform for understanding the interaction of science, technology, and economy. The practice of innovation statistics in developed countries has formed a good standard system and international standard. China, based on international practice, has established a new system of innovation statistics and laid the foundation for further promoting the strategy of innovation-driven development. In the future, China will still need to take international standards as the base, understand the development reality of the country, respect the law of statistics, pay attention to the statistics and …

A Milestone For Spora, Editorial Board

Spora: A Journal of Biomathematics

With the sixth volume, Spora is entering its next phase. The Editorial Board is happy to expand the journal's role in disseminating work conducted by research groups with at least one student author. With the new emphasis on student-driven research, Spora welcomes submissions related to Ph.D. dissertations, master's theses, and undergraduate research projects.

The Importance Of Type I Error Rates When Studying Bias In Monte Carlo Studies In Statistics, Michael Harwell

Journal of Modern Applied Statistical Methods

Two common outcomes of Monte Carlo studies in statistics are bias and Type I error rate. Several versions of bias statistics exist but all employ arbitrary cutoffs for deciding when bias is ignorable or non-ignorable. This article argues Type I error rates should be used when assessing bias.

Welcome To Volume 5, Editorial Board

Spora: A Journal of Biomathematics

Spora is entering its sixth year with an expanded and evolved focus on publishing a broad spectrum of articles in mathematical biology. Starting with the new volume, manuscripts from student-driven research projects will be considered as long as at least one author is a doctoral, master's, or undergraduate student.

Criminal Justice Bias: Fact Or Fiction, Hiba Mobarak

Quest

Objective Analysis

Research in progress for CRIJ 1301: Introduction to Criminal Justice

Faculty Mentor: Stefanie LeMaire

The following paper represents work produced by a student in an Introduction to Criminal Justice course at Collin College. The paper is an objective analysis of prominent research regarding potential police biases and how officers’ decisions may be influenced by a suspect’s race. The topic of racial bias within policing is quite controversial, as evidenced by the community protests, media coverage, and destruction that has ensued after officer-involved shootings. This assignment asks students to objectively review scholarly research on police bias and constructively criticize …

Development Of The Algorithm For Supporting Decision-Making In Self-Government Bodies Using Machine Learning, X J. Raximboyev

Scientific-technical journal

The article deals with the problem of constructing a model and algorithm for decision support in self-government bodies using machine learning. The method of multiple linear regression for processing the training sample was chosen as a machine learning method. In the training sample, independent data consists of parametric estimates in numerical form of self-government bodies in three areas of activity, such as education, social environment and crime. And the dependent parameter consists of generalized expert assessments of self-government bodies, also in numerical form. The model and algorithm of the decision support process using the method of multiple linear regression are …

Art, Artfulness, Or Artifice?: A Review Of The Art Of Statistics: How To Learn From Data, By David Spiegelhalter, Jason Makansi

Numeracy

David Spiegelhalter. 2019. The Art of Statistics: How to Learn From Data. (London: The Penguin Group). 444 pp. ISBN 978-1541618510

The author successfully eases the reader away from the rigor of statistical methods and calculations and into the realm of statistical thinking. Despite an engaging style and attention-grabbing examples, the reader of The Art of Statistics will need more than a casual grounding in statistics to get what Spiegelhalter, I believe, intends from his book. It should be viewed as a companion to a more rigorous textbook on statistical methods but not necessarily a book that makes statistics any …

Dubious Data And Difficult Conversations: Review Of No Bs (Bad Stats): Black People Need People Who Believe In Black People Enough Not To Believe Every Bad Thing They Hear About Black People, By Ivory A. Toldson., Joel Best

Numeracy

Ivory A. Toldson. 2019. No BS (Bad Stats): Black People Need People Who Believe in Black People Enough Not to Believe Every Bad Thing They Hear about Black People; (Boston, Brill). Paperback ISBN 978-90-04-39702-6. E-book ISBN 978-90-04-39704-0.

Ivory A. Toldson is a professor of Counseling Psychology at Howard University and the current editor-in-chief of the Journal of Negro Education (founded in 1932), and offers an unapologetic critique of how statistical malpractice has misrepresented the situation of Blacks in the United States. Readers of Numeracy should find his examples and analysis both interesting and thought-provoking.

The Author’S Reflections On No B.S. (Bad Stats): Black People Need People Who Believe In Black People Enough Not To Believe Every Bad Thing They Hear About Black People, Ivory A. Toldson

Numeracy

Toldson, Ivory. A. 2019. No BS (Bad Stats): Black People Need People Who Believe in Black People Enough Not to Believe Every Bad Thing They Hear About Black People (Boston, MA: Brill-Sense) 194 pp. ISBN 978-9004397026.

This essay provides an introduction to No BS (Bad Stats): Black People Need People Who Believe in Black People Enough Not to Believe Every Bad Thing They Hear About Black People. In the essay, the author discusses how cynical views about the educational potential of Black children motivated him to write a book that challenges negative statistics. The essay also outlines the harmful …

Designing A Student Exchange Program: Facilitating Interdisciplinary, Mathematics-Focused Collaboration Among College Students, Bryan D. Poole, Linden Turner, Caroline Maher-Boulis

Journal of Mathematics and Science: Collaborative Explorations

Interdisciplinary collaboration is necessary for students’ professional preparation (Laird et al., 2014; Repko, 2014) and may promote effective learning transfer of course content. Such collaborations have resulted in enhanced problem-solving skills and conceptual understanding of statistics content (Dierker et al., 2012; Everett, 2016; Hammersley et al., 2019; Woodzicka et al., 2015). As a result of ongoing collaborations between faculty members in different disciplines and at different universities, we created a “Student Exchange Program” to encourage interdisciplinary collaboration between undergraduate students in mathematics and social sciences. In the current paper, we describe past research that informed the design of this program, …

Reliability Comparisons Of Mobile Network Operators: An Experimental Case Study From A Crowdsourced Dataset, Engi̇n Zeydan, Ahmet Yildirim

Turkish Journal of Electrical Engineering and Computer Sciences

It is of great interest for Mobile Network Operators (MNOs) to know how well their network infrastructure performance behaves in different geographical regions of their operating country compared to their horizontal competitors. However, traditional network monitoring and measurement methods of network infrastructure use limited numbers of measurement points that are insufficient for detailed analysis and expensive to scale using an internal workforce. On the other hand, the abundance of crowdsourced content can engender various unforeseen opportunities for MNOs to cope with this scaling problem. This paper investigates end-to-end reliability and packet loss (PL) performance comparisons of MNOs using a previously …