Supermarkets, Highways, and Natural Gas Production: Statistics and Social Justice

Ross, John; Shelton, Therese

doi:10.1080/10511970.2018.1456497

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…In light of a business school's strategic plan, business statistics/analytics courses serve as a prerequisite for other programs such as finance, economics, accounting, and supply chain management. The intersection of business statistics and analytics courses with "mission critical" objectivessocial justice, sustainability, diversity, equity, and inclusion (DEI)is often overlooked within the research (Ross & Shelton, 2019). Specifically, AACSB's mission towards sustainability could be supported by greater connectivity of sustainability goals and objectives within statistical courses in an effort to train the future business researchers in mission critical areas.…”

Section: Literature Reviewmentioning

confidence: 99%

The Mean May Not Mean What You Think It Means: The Use and Misuse of Measures of Central Tendency

Condon,

Drougas,

Abrokwah

2023

JABE

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Analysis of business studies often involves the quantification of qualitative data to derive meaningful insights and making informed decisions. One such challenge is the inappropriate use of the arithmetic mean in economic and financial modeling. The arithmetic mean is a widely used statistical measure of central tendency that sums up a set of values and divides it by the total number of observations. While the arithmetic mean is simple and intuitive, its appropriateness in financial and economic modeling highly depends upon the nature of the data and the specific research question being addressed. This creates a dilemma. Despite the business community traditionally emphasizing quantitative research modeling, the growth of artificial intelligence and big data make qualitative research more desirable, particularly in areas such as ESG scorecards and financial literacy surveys. This paper discusses the challenges presented with analyzing studies after quantifying qualitative data and provides examples of how ordinal regression and other techniques could be used to analyze qualitative variables. This is especially applicable in undergraduate education.

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Section: Literature Reviewmentioning

confidence: 99%

The Mean May Not Mean What You Think It Means: The Use and Misuse of Measures of Central Tendency

Condon,

Drougas,

Abrokwah

2023

JABE

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“…Shelton and mathematical colleague John Ross wove social justice assignments into an Introductory Statistics course and produced the article [19], which includes thoughts, supported by a partial literature review about our journey as novices to teaching with social justice, as well as a link to our modules. This began at the 2016 Associated Colleges of the South (ACS) workshop, Mathematics for Social Justice.…”

Section: Author Interactions and Acknowledgementsmentioning

confidence: 99%

A Model of the Transmission of Cholera in a Population with Contaminated Water

Shelton¹,

Groves²,

Adrian³

2019

CODEE

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Cholera is an infectious disease that is a major concern in countries with inadequate access to clean water and proper sanitation. According to the World Health Organization (WHO), "cholera is a disease of inequityan ancient illness that today sickens and kills only the poorest and most vulnerable people.. . The map of cholera is essentially the same as a map of poverty." [27] We implement a published model [9] of a SIR model that includes a bacterial reservoir. Bacterial concentration in the water, λ, or the "force of infection," is modeled by the Monod Equation in microbiology. We investigate the sensitivity of the models to some parameters. We use parameter values for cholera in Haiti that are consistent with the ranges in meta-analysis [9] and other sources. We show the results of our numerical approximation of solutions. Our goal is to use this system of nonlinear ordinary differential equations to raise awareness among the mathematics community of the dynamics of cholera. We discuss the enhancement of undergraduate experiences by motivating learning with a real-world context in social justice implications of global health. 1 Overview Cholera is a well-established waterborne disease that spreads through populations of people who are already overly burdened. Controlling cholera will require investment of monetary and human resources, issues beyond the scope of this paper. Here, we seek to understand and illustrate more about the disease through a mathematical model. We begin with an overview of the disease and of the outbreak in Haiti. We review the basic

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Using Field Trips to Create Relevant Social Justice Informed Mathematics Lessons in an Elementary Teacher Education Program: An Action Research Study

Ijebor

Cascalheira

Lucero

2022

Action in Teacher Education

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Supermarkets, Highways, and Natural Gas Production: Statistics and Social Justice

Cited by 3 publications

References 4 publications

The Mean May Not Mean What You Think It Means: The Use and Misuse of Measures of Central Tendency

The Mean May Not Mean What You Think It Means: The Use and Misuse of Measures of Central Tendency

A Model of the Transmission of Cholera in a Population with Contaminated Water

Using Field Trips to Create Relevant Social Justice Informed Mathematics Lessons in an Elementary Teacher Education Program: An Action Research Study

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