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Gender Wage Gap: Analysis of Women in Statistical Industries and Financial Effects of the Wage Gap
Get PDFWomen in statistical and mathematical industries are continuing to be mistreated within the workforce. Women are constantly being paid less than men, despite prior qualifications that should show otherwise. An overall pay gap between male and female employees not only affects the women’s work at the company, but also their lives outside of the corporate world. This thesis analyzes the direct effects of this pay difference, and how women are truly treated throughout the working world. The data collected through surveys is used as the basis in determining the real pay gap, and the overall emotions and degree of comfort women feel in their offices. Analysis using a linear regression model aided in the conclusions drawn from the survey. Additional reasonings and further implications of results are discussed throughout the thesis
Salary Distribution and Winning Percentage: A Panel Data Analysis of the National Football League
Get PDFThis paper analyzes the effect of player salary distribution, as well as other external and internal factors, on regular season win percentage of teams in the National Football League (NFL) over the past four seasons. The conclusions from this study were drawn from regression analysis of NFL salary data over the past four seasons (2019-2023). Player salaries were collected and condensed into twenty independent variables. These independent variables along with 8 control variables were regressed against regular season win percentage. The results indicate the greater total expenditure, a greater salary spread (range and variance), and greater salaries for the highest and lowest earning players are positively correlated with regular season win percentage
Hand Map by Gabrielle Pi
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Hand Map by Gabriella Cos
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Hand Map by Anonymous Student
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Hand Map by Anonymous Student
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Advertising to Reduce Public Stigma and Its Associated Consequences for Medical Marijuana Patients
Get PDFMedical marijuana patients must contend not just with their maladies, but with the social stigma surrounding marijuana use as well. This study hypothesizes that advertising can be used to positively influence individual’s acceptance of medical marijuana. It seeks to answer the questions: Can persuasive advertising be used to reduce stigma surrounding medical marijuana? Which advertising method is most effective in this persuasive process? To find the answer, a between subject, factorial design experiment is used. One of six randomized advertisements are shown to participants in a 3x2 (pathos, logos, ethos x guilt and shame) design. Participants opinions on the advertisement and the validity of medical marijuana are examined after. Although statistically insignificant due to limitations, the data suggests that guilt (vs. shame) appeals are more effective when paired with the rhetorical framework of pathos and logos, however this difference was eliminated with ethos-oriented advertisements. This study expands upon the guilt/shame advertising research conducted by Baek and Yoon (2017), and data from this study can potentially be used by public welfare organizations for stigma-reduction campaigns