Social and Behavioral Sciences Commons^™

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.

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 …

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.

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.

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 …

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 …