Analyzing Newspaper Distribution Across Cities

The question asks us to identify the city with the minimum total distribution of newspapers based on the provided table. To do this, we need to calculate the total number of newspapers distributed in each city by summing the distribution numbers for Newspaper A, B, C, and D in that specific city.

Calculating Total Newspaper Distribution per City

Let's calculate the total distribution for each city:

• Delhi: Sum of distribution for Newspaper A, B, C, and D in Delhi. Total Distribution in Delhi $= 1000 + 750 + 320 + 250 = 2320$ Total distributed newspapers in Delhi: $2320$.
• Lucknow: Sum of distribution for Newspaper A, B, C, and D in Lucknow. Total Distribution in Lucknow $= 500 + 250 + 250 + 175 = 1175$ Total distributed newspapers in Lucknow: $1175$.
• Varanasi: Sum of distribution for Newspaper A, B, C, and D in Varanasi. Total Distribution in Varanasi $= 200 + 150 + 165 + 155 = 670$ Total distributed newspapers in Varanasi: $670$.
• Jaipur: Sum of distribution for Newspaper A, B, C, and D in Jaipur. Total Distribution in Jaipur $= 200 + 350 + 135 + 160 = 845$ Total distributed newspapers in Jaipur: $845$.

Comparing Total Distributions to Find Minimum

Now we compare the total distribution numbers for all cities:

• Delhi: $2320$
• Lucknow: $1175$
• Varanasi: $670$
• Jaipur: $845$

Comparing these numbers, we can see that the minimum total distribution is $670$, which occurs in Varanasi.

Conclusion on Minimum Newspaper Distribution City

Therefore, the city where the distribution of paper is minimum is Varanasi.

Revision Table: Newspaper Distribution Analysis

The minimum value in the 'Total Distribution' column is 670, corresponding to Varanasi.

Additional Information: Understanding Data Tables

Data tables are useful tools for organizing information clearly. In this table:

• Rows represent the different cities (Delhi, Lucknow, Varanasi, Jaipur).
• Columns represent the different newspapers (A, B, C, D).
• Each cell value indicates the number of newspapers of a specific type distributed in a specific city.

To find the total distribution for a city, you sum the values across the row corresponding to that city. This type of analysis helps in comparing performance (like distribution) across different categories (like cities).