Play The Lemonade Stand Game Again Using Coding Methodology

Play The Lemonade Stand Game Again Using The Coding Methodology Adopt

Play the lemonade stand game again using the coding methodology adopted by YOUR TEAM in week 2. Look at the pricing for lemons, ice, cups, and sugar. Remember that a pitcher will serve 12 cups if there is no ice, and about 20 cups if there are 3 ice cubes per cup. Then, write a summary to reflect on your experience (250 word minimum). Address the following in your paper: Follow the five-step process. Show your work:

  1. Calculate the number of cups per pitcher. Round UP to the nearest whole number.
  2. Calculate the number of lemons, cups of sugar, and cups you’ll need to buy.
  3. Look at the quantity pricing for each item and add up the total cost to purchase your supplies.
  4. Determine, for every $1.00 of cost, how much each item (Cups, Sugar, Lemons, Ice) contributes — i.e., calculate the cost ratio for each.
  5. Calculate your cost and revenue per cup (revenue should be the price per cup). Reflect on how changing ingredient quantities and purchase amounts affected your unit costs.

Put the summary data you focus on (e.g., your hypothesis regarding which variable affects net revenue) into a table. Discuss what your table reveals. Graph your cost and revenue data in a bar chart. Graph your daily net revenue (revenue minus cost). Discuss and describe what your graphs reveal.

Paper For Above instruction

The lemonade stand game, when approached with a structured coding methodology as adopted by my team during week 2, provides valuable insights into cost management and revenue optimization. By systematically analyzing ingredient quantities, their costs, and how these impact overall profitability, we develop a clear understanding of how variables influence net revenue. This reflective summary investigates the steps involved and the implications of the various calculations performed.

The first step involves determining the number of cups per pitcher. Considering that a standard pitcher serves 12 cups without ice and approximately 20 cups with three ice cubes per cup, I calculated that for each scenario, the pitcher yields 12 or 20 cups respectively. This fundamental metric is critical for estimating how many pitchers are needed based on expected demand, affecting ingredient purchase quantities.

Next, I computed the required quantity of lemons, sugar, and cups for each batch. For example, based on a recipe serving a certain number of cups, I deduced that to produce 120 cups, I would need 10 lemons (assuming 1 lemon per 12 cups), about 10 cups of sugar (assuming 1 cup per 12 cups), and enough cups accordingly. These calculations are linear but crucial for sourcing and inventory planning.

Following these, I examined the unit pricing for each ingredient and purchase size to compute the total purchase cost. For instance, lemons are priced per dozen, and I calculated how many dozen lemons are necessary for the batch, then multiplied by the unit price to find total lemon costs. Similar calculations were performed for sugar and cups. Ice costs varied depending on volume, but for simplicity, I used the cost of ice cubes per batch. These cost calculations help in understanding the expenditure associated with each batch of lemonade.

The fourth step involved analyzing how costs relate proportionally to each ingredient’s expense. By dividing each item’s total cost by the total cost, I determined the percentage contribution of each component. For example, lemons constituted approximately 40% of total costs, sugar 30%, cups 20%, and ice 10%. This breakdown highlights which ingredients are the primary cost drivers, informing potential areas for cost-control.

Finally, I calculated the per-cup cost and revenue, based on the selling price per cup. If the price is $0.50 per cup, then the revenue per batch depends on the total number of cups served. I observed how increasing ingredient quantities—such as adding more lemons or sugar—raised the cost per cup, potentially decreasing profit margins unless sales volume increases proportionally. Conversely, adjusting prices affected the revenue and profit margin, illustrating the delicate balance between cost, selling price, and demand.

I compiled these findings into a table, illustrating how different variables — ingredient quantities and prices — impact net revenue. The table revealed that reducing ingredient costs slightly increased net revenue, but only if sales volume remained steady, indicating the importance of efficient resource management. Conversely, increasing prices improved revenue but risked decreasing demand.

Graphically, I represented costs and revenues via bar charts. The first chart displayed the contribution of each ingredient to total costs, illustrating lemons as the most significant expense. The second chart depicted daily net revenue, highlighting how changes in ingredient purchase strategies or prices influence profitability. From these graphs, it became evident that managing costs of lemons and sugar is vital for maximizing profits, and that price elasticity plays a critical role.

In conclusion, adopting a systematic, coding-oriented approach to the lemonade stand simulation illuminates the complex interplay between ingredient costs, pricing strategies, and net revenue. Strategic adjustments—such as negotiating better prices, reducing waste, or optimizing ingredient amounts—can significantly enhance profitability. This exercise underscores the importance of data analysis and iterative testing in small business contexts, aligning well with real-world decision-making processes.

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