Calculating Total Revenue Book Sales A Shopkeeper's Earnings Analysis

In this article, we will delve into a practical problem involving calculating a shopkeeper's revenue from selling books on different days. This scenario combines basic arithmetic with real-world application, making it an excellent exercise in understanding financial transactions. We will analyze the number of books sold for each subject – Chemistry, Physics, and Maths – over two days, and calculate the total revenue earned considering the individual selling prices of each subject's books. Understanding revenue calculation is crucial for any business, and this example provides a clear and concise illustration of the process. The problem highlights the importance of meticulous record-keeping and accurate calculations in a retail environment.

Let's break down the problem statement. A shopkeeper sells books across three subjects: Chemistry, Physics, and Maths. On Day I, the shopkeeper sells 50 Chemistry books, 60 Physics books, and 55 Maths books. On Day II, the sales figures are as follows: 40 Chemistry books, 45 Physics books, and 50 Maths books. The selling prices for each subject's book are: ₹150 for Chemistry, ₹175 for Physics, and ₹180 for Maths. Our goal is to find the shopkeeper's total revenue from these sales. This involves calculating the revenue for each subject on each day and then summing up all the revenues to arrive at the final figure. Calculating total revenue requires a systematic approach, considering the quantity sold and the price per item. The data presented allows us to apply fundamental mathematical operations to solve a practical business problem. The challenge is to organize the information efficiently and perform the calculations accurately to arrive at the correct revenue figure. This problem is a great way to understand how basic arithmetic can be applied in real-world scenarios, especially in retail and sales.

Day I Sales Analysis

To begin our revenue calculation, we need to analyze the sales data for Day I. The shopkeeper sold 50 Chemistry books at ₹150 each, 60 Physics books at ₹175 each, and 55 Maths books at ₹180 each. To find the revenue from each subject on Day I, we multiply the number of books sold by the selling price per book. For Chemistry, the revenue is 50 books * ₹150/book = ₹7500. For Physics, the revenue is 60 books * ₹175/book = ₹10500. For Maths, the revenue is 55 books * ₹180/book = ₹9900. Now, to find the total revenue for Day I, we add the revenues from each subject: ₹7500 (Chemistry) + ₹10500 (Physics) + ₹9900 (Maths) = ₹27900. Therefore, the shopkeeper's total revenue from book sales on Day I is ₹27900. This calculation demonstrates the basic principle of revenue calculation, which is multiplying the quantity sold by the price per unit. By breaking down the sales by subject, we can clearly see the contribution of each subject to the total revenue. This detailed analysis helps in understanding the performance of each category and can inform future sales strategies. The Day I calculation serves as the foundation for the next step, which is analyzing the sales data for Day II.

Day II Sales Analysis

Next, let's analyze the sales data for Day II. On this day, the shopkeeper sold 40 Chemistry books at ₹150 each, 45 Physics books at ₹175 each, and 50 Maths books at ₹180 each. Similar to our Day I analysis, we calculate the revenue for each subject by multiplying the number of books sold by the selling price per book. For Chemistry, the revenue is 40 books * ₹150/book = ₹6000. For Physics, the revenue is 45 books * ₹175/book = ₹7875. For Maths, the revenue is 50 books * ₹180/book = ₹9000. To find the total revenue for Day II, we add the revenues from each subject: ₹6000 (Chemistry) + ₹7875 (Physics) + ₹9000 (Maths) = ₹22875. Hence, the shopkeeper's total revenue from book sales on Day II is ₹22875. This calculation reinforces the concept of revenue generation, highlighting how sales volume and pricing directly impact earnings. By comparing the Day II sales with Day I sales, we can observe trends and variations in customer demand for different subjects. This type of analysis is crucial for inventory management and marketing strategies. The Day II revenue calculation provides another piece of the puzzle in determining the shopkeeper's overall earnings over the two days.

Calculating Total Revenue: Days I and II Combined

Now that we have calculated the revenue for both Day I and Day II, we can determine the total revenue earned by the shopkeeper over these two days. On Day I, the revenue was ₹27900, and on Day II, the revenue was ₹22875. To find the total revenue, we simply add the revenues from both days: ₹27900 (Day I) + ₹22875 (Day II) = ₹50775. Therefore, the shopkeeper's total revenue from selling Chemistry, Physics, and Maths books over the two days is ₹50775. This final calculation demonstrates the cumulative effect of daily sales on overall revenue. Total revenue is a key metric for assessing business performance and profitability. By aggregating the daily revenues, we gain a comprehensive view of the shopkeeper's earnings during the specified period. This total revenue figure can be further analyzed to understand profit margins, expenses, and other financial aspects of the business. Understanding the total revenue is essential for making informed decisions about pricing, inventory, and overall business strategy. This concludes the calculation of the shopkeeper's revenue from book sales, providing a clear example of how basic arithmetic can be applied to solve real-world business problems.

In conclusion, we have successfully calculated the shopkeeper's total revenue from selling Chemistry, Physics, and Maths books over two days. By meticulously analyzing the sales data for each day and each subject, we arrived at a total revenue of ₹50775. This exercise highlights the importance of accurate record-keeping and precise calculations in a retail environment. The process involved breaking down the problem into smaller, manageable steps, such as calculating the revenue for each subject on each day, and then summing up the individual revenues to find the total. This systematic approach is crucial for solving complex problems in various fields. Understanding revenue is fundamental to business success, and this example provides a clear and practical illustration of how revenue is calculated based on sales volume and pricing. Moreover, this problem demonstrates how basic mathematical operations can be applied to real-world scenarios, making it a valuable learning experience. The insights gained from this analysis can be used to make informed decisions about pricing strategies, inventory management, and overall business planning. The ability to calculate revenue accurately is an essential skill for anyone involved in sales, retail, or business management. This detailed analysis provides a comprehensive understanding of the revenue calculation process, reinforcing the importance of mathematics in everyday business operations.