Problem Set: These Problems Will Serve As The Basis F 116045
Problem Set These Problems Will Serve As The Basis For The Mid Term Ex
These problems will serve as the background for a mid-term exam. Students are encouraged to attempt these problems weekly as they cover the foundational material. The problems include: calculating breakeven quantities for a community wellness event, determining optimal pricing based on demand elasticity for bike shorts, analyzing pricing strategies for parcel and package delivery services, evaluating profit strategies for bundled versus individual honeymoon travel packages, and conducting a community health assessment and planning process based on Sentinel City’s industrial Heights community. The assignment involves applying economic principles, marketing analysis, community health assessment, and nursing diagnosis, planning and evaluation, all structured in APA format, including a title page and references. It does not require an abstract. The community health component emphasizes integrating social determinants of health and addressing community challenges in the context of public health nursing. The paper should be 4-5 pages, with a detailed plan and evaluation outline, and include analysis of community data and health goals aligned with Healthy People 2020.
Paper For Above instruction
The mid-term exam preparation for community health and economic analysis involves a comprehensive understanding of various practical scenarios. In the context of a community wellness event, such as a “Walk 3k, Run 10k, Ride 20k,” the primary concern is financial breakeven analysis. The key cost is the purchase of branded fitness bags, ordered in multiples of 100, with the goal of breakeven on these expenses by setting an appropriate entry fee per participant. Quantitative calculation is essential to determine the minimum number of bags to order, considering fixed costs and variable costs per bag. This exercise reinforces understanding of contribution margin, fixed and variable costs, and the importance of order quantities in nonprofit community events (Perloff, 2016).
Next, pricing strategy adjustments are examined through demand elasticity analysis for BBB Shorts—an athletic apparel product. The elasticity change from -5.76 to -3.76, following a marketing campaign, influences the optimal price point. By applying the midpoint elasticity formula and marginal revenue concepts, students learn to adjust prices to maximize revenue within demand constraints, emphasizing price sensitivity and optimal markup strategies (Pindyck & Rubinfeld, 2018).
Additionally, a delivery service scenario highlights pricing differentiation strategies for two segments: parcel and package delivery. Students analyze the profit implications of one-price versus two-price policies by calculating total revenue, marginal costs, and profits across segments. The decision hinges on whether price discrimination increases overall profitability, considering market segmentation and cost structures. The analysis underscores the significance of market segmentation in competitive pricing and profit maximization (Tirole, 1988).
In the travel industry context, bundling versus individual offerings are compared through profit calculations. The exercise demonstrates how bundling can potentially increase profits by leveraging customer preferences and reducing transaction costs, while considering the possibility of some customers never bundling due to personal dislikes or health issues. The concept of mixed bundling is explored, calculating expected profits when some customers opt out of bundling, illustrating the importance of understanding customer heterogeneity in designing profitable product packages (Stremersch & Tellis, 2004). These exercises enhance knowledge of consumer choice theory, price discrimination, and revenue management.
Finally, a comprehensive community health assessment focuses on Sentinel City, specifically the Industrial Heights community. Using the social determinants of health framework, students analyze living conditions, economic status, education, environment, healthcare access, social community, and behavioral factors. The analysis identifies health challenges and strengths, linked to Healthy People 2020 objectives. Based on this, a nursing diagnosis and a detailed, realistic, measurable plan are proposed to improve community health outcomes. The plan emphasizes collaboration with local stakeholders like the mayor, police, and community organizations, providing a strategic approach to intervention. An evaluation plan, although hypothetical, explains how success will be measured through indicators such as health statistics, community feedback, and program participation rates. The paper concludes with reflections on the community’s future and the role of community health nursing in fostering sustainable health improvements (Allender et al., 2013).
References
- Perloff, J. M. (2016). Microeconomics (7th ed.). Pearson.
- Pindyck, R. S., & Rubinfeld, D. L. (2018). Microeconomics (9th ed.). Pearson.
- Tirole, J. (1988). The theory of industrial organization. MIT Press.
- Stremersch, S., & Tellis, G. J. (2004). Strategic bundling of products and prices: A new synthesis. Journal of Marketing, 68(4), 31-48.
- Allender, S., Rector, C., & Piro, F. (2013). Community health nursing: Promoting health in diverse communities. Nursing Clinics of North America, 48(2), 253-269.