MAT 126 Project

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Southern New Hampshire University *

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126

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Mathematics

Date

Feb 20, 2024

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docx

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Uploaded by SuperHumanResolve13326

MAT 126 Project Template Project Kyle Larsen Southern New Hampshire University MAT-126-Q7789 Modern Problem-Solving Milda Aramaviciute December 10, 2023

Part One: Context In this section, you will introduce your chosen scenario and how math can be used to solve the problem. Refer to the Project Guidelines and Rubric for the required criteria. I have chosen Scenario 1. The article of energy drink sales in the United States from 2017-2021. Math is used in this scenario to track data and analyze the sales of energy drinks in the United Stated from 2017 to 2021. The number represents the sales in billions of U.S dollars for each year. Math is used to calculate the total sales for each year, determine the changes in sales from year to year, and analyze trends in the data. Math can also be used to calculate the annual sales, find the highest and lowest sales figures, and make predictions projections for future sales based on the data. There are several mathematical elements presented that contribute to the analysis of energy drink sales. Sales figures, the scenario provides numerical data in the form of sales figures for different energy drink brands. These figures represent the quantities of drinks sold during a specific period. Percentage calculation, it mentions that energy drink sales accounted for 84 percent of the total packaged beverages market. This involves calculating the percentage of energy drink sales out of the total sales of packaged beverages. Growth rates, the scenario indicated that the energy drink market experienced a 60 percent growth rate. This involves calculating the percentage increase in sales from one period to another. Growth rates help understand the pace of expansion and market dynamics. These mathematical elements provide the foundation for quantitative reasoning and analysis in the scenario. There are several characteristics of quantitative data in this scenario. Numerical Values, Time period, Growth rates, Comparative analysis, and Aggregated data. The data consists of numerical values, such as sales figures in billions of U.S dollars, providing a standard unit for

measuring the sales of energy drinks. The data spans a specific time period from 2017 to 2021, allowing for the analysis of trends and changes in energy drink sales over time. The data also includes information on the growth rates of energy drink sales, such as the percentage increase in sales volume between 2018 and 2019. The data allows for comparing different energy drink brands based on their sales figures, identifying the leading brand and its market dominance. The data is aggregated to provide an overall picture of energy drink sales in the U.S, including the total sales for each year and the market share of energy drinks in the packaged beverages industry. Overall, the quantitative data provides measurable and numerical information about energy drink sales in the U.S, enabling analysis, comparisons, and tracking of trends over time. Quantitative reasoning is highly relevant in this scenario for several reasons. It allows us to analyze and track trends in the sales over time. By examining the numerical values and changes in sales figures, we can identify patterns, growth rates, and fluctuations in the market. Quantitative reasoning also helps us understand the market share of energy drinks in the packaged beverage industry. By calculating the percentage of energy drink sales in comparison to other packaged beverages, we can evaluate the market size and competitive landscape. Overall quantitative reasoning is relevant in this scenario as it provides a systematic and analytical approach to understanding energy drink sales. It helps in analyzing market share, forecasting, and making data-driven decisions for business success.

Part Two: Questions and Answers In this section, you will discuss how math could be used to analyze your problem and propose a solution. Refer to the Project Guidelines and Rubric for the required criteria. In analyzing the scenario (Scenario 1 energy drinks at school) for specific mathematical techniques, there are a few approaches that I can use to support my position when contacting the state representative. Quantify the health impact: I can gather data on the negative health impacts associated with energy drink consumption, such as increased heart rate, high blood pressure and potential long-term health consequences. I can calculate the prevalence of these health issues among minors who consume energy drinks. I will also use statistical techniques like odds ratios or relative risks to compare the health risks between minors who consume energy drinks and those who do not. Various forms of data visualization can be used to analyze and present the gathered information. These data visualization techniques can include creating graphs, charts, or infographics to represent the collected data effectively. Data collection, data analysis, and interpreting results. Data collection, I can gather information on the number of minor consuming energy drinks, their frequency of consumption, and the potential negative impacts. This data can be obtained through surveys or by analyzing existing research studies on the topic. For the visualization I could choose an appropriate form of data visualization to represent the collected data effectively. This could be done using graphs, charts, or infographics. An example I could create a bar chart to show percentage of minors consuming energy drinks at different frequencies (daily, weekly, monthly)

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