Of the total number of books sold in one year, approximately what percentage of the total number did M Jackson sell?
The correct answer and explanation is:
To accurately determine what percentage of the total number of books were sold by M. Jackson, we need the total number of books sold and the number of books M. Jackson sold. Since this information is not provided in your question, I’ll walk you through the steps to find the percentage, assuming you have the data.
Step-by-Step Process
Let’s say:
- Total books sold by all authors = T
- Books sold by M. Jackson = M
Then the formula to calculate the percentage of books sold by M. Jackson is: Percentage=(MT)×100\text{Percentage} = \left( \frac{M}{T} \right) \times 100
Example Calculation
Suppose:
- Total books sold by all authors = 5,000
- Books sold by M. Jackson = 1,250
Percentage=(12505000)×100=25%\text{Percentage} = \left( \frac{1250}{5000} \right) \times 100 = 25\%
So, M. Jackson sold 25% of the total number of books.
Explanation (300 Words)
Understanding how to calculate percentages is crucial in analyzing sales data or performance metrics. In this context, determining what proportion of total book sales came from one author, like M. Jackson, provides insight into that author’s market impact or popularity.
To find the percentage contribution of M. Jackson’s book sales to the total, we use the formula: (PartWhole)×100\left( \frac{\text{Part}}{\text{Whole}} \right) \times 100
Here, the “part” is the number of books sold by M. Jackson, and the “whole” is the total number of books sold by all authors. This ratio is then multiplied by 100 to convert it into a percentage, which is easier to interpret and compare.
For instance, if M. Jackson sold 1,250 books out of a total of 5,000, the percentage would be 25%. This means that one in every four books sold that year was authored by M. Jackson — a significant share that might indicate strong reader preference, effective marketing, or widespread distribution.
Percentages help standardize different data sizes, making them ideal for comparing performance across authors, years, or markets. This is especially important in publishing, where understanding which authors are performing best helps publishers make informed business decisions.